Money creation is typically misrepresented in economics textbooks, and as a result also in popular understanding. The two most common misrepresentations are: (1) That banks receive deposits when households save, and then lend them out. Instead, new bank loans create new deposits, and repayment of bank loans extinguishes deposits. (2) That the central bank either fixes the amount of money in circulation, or that a given amount of central bank money is multiplied up into more loans and deposits. Instead, the quantity of money in circulation is mainly determined by the commercial decisions of banks, but with monetary policy and prudential regulation acting as constraints on private money creation. The author will discuss the mechanics of money creation in the modern economy, with an application to CBDC, a potential new form of central bank money.

Accessible and powerful machine learning has its downsides. A recent New York Times article profiled clearview.ai, an unregulated facial recognition service that has downloaded over 3 billion photos of people from the Internet and used them to build facial recognition models for citizens without their knowledge or permission. Clearview.ai demonstrates just how easy it is to build invasive tools for monitoring and tracking using deep learning. So how do we protect ourselves against unauthorized third parties building facial recognition models that recognize us wherever we may go?

In this talk, I will present our system Fawkes, an algorithm and software tool that gives individuals the ability to limit how unknown third parties can track them by building facial recognition models out of their publicly available photos. At a high level, Fawkes "poisons" models that try to learn what you look like, by putting hidden changes into your photos that poison any facial recognition models of you. Fawkes takes your personal images and makes tiny, pixel-level changes that are invisible to the human eye, in a process we call image cloaking. You can then use these "cloaked" photos as you normally would, sharing them on social media, sending them to friends, the same way you would any other photo. The difference, however, is that if and when someone tries to use these photos to build a facial recognition model, "cloaked" images will teach the model an highly distorted version of what makes you look like you, thus protecting your privacy.

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We construct public-coin time- and space-efficient zero-knowledge arguments for NP. For every time T and space S non-deterministic RAM computation, the prover runs in time T⋅polylog(T) and space S⋅polylog(T), and the verifier runs in time n⋅polylog(T), where n is the input length. Our protocol relies on hidden order groups, which can be instantiated, assuming a trusted setup, from the hardness of factoring (products of safe primes), or, without a trusted setup, using class groups. The argument-system can heuristically be made non-interactive using the Fiat-Shamir transform.

Our proof builds on DARK (Bünz et al., Eurocrypt 2020), a recent succinct and efficiently verifiable polynomial commitment scheme. We show how to implement a variant of DARK in a time- and space-efficient way. Along the way we:

1. Identify a significant gap in the proof of security of DARK.

2. Give a non-trivial modification of the DARK scheme that overcomes the aforementioned gap. The modified version also relies on significantly weaker cryptographic assumptions than those in the original DARK scheme. Our proof utilizes ideas from the theory of integer lattices in a novel way.

3. Generalize Pietrzak's (ITCS 2019) proof of exponentiation (PoE) protocol to work with general groups of unknown order (without relying on any cryptographic assumption).

In proving these results, we develop general-purpose techniques for working with (hidden order) groups, which may be of independent interest.

This is joint work with Alex Block, Justin Holmgren, Alon Rosen and Ron Rothblum, and will appear at CRYPTO '21. The full version of the paper is available here: https://eprint.iacr.org/2021/358.

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This work investigates how a population of end-users with especially salient security and privacy risks— sex workers—conceptualizes and manages their digital safety. The commercial sex industry is increasingly Internet-mediated. As such, sex workers are facing new challenges in protecting their digital privacy and security and avoiding serious consequences such as stalking, blackmail, and social exclusion. Through interviews (n=29) and a survey (n=65) with sex workers in European countries where sex work is legal and regulated, we find that sex workers have well-defined safety goals and clear awareness of the risks to their safety: clients, deficient legal protections, and hostile digital platforms. In response to these risks, our participants share sophisticated strategies for protecting their safety, but use few tools specifically designed for security and privacy. Our results suggest that if even high-risk users with clear risk conceptions view existing tools as insufficiently effective to merit the cost of use, these tools are not actually addressing their real security needs. Our findings underscore the importance of more holistic design of security tools to address both online and offline axes of safety.

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We show that a constant factor approximation of the shortest and closest lattice vector problem in any norm can be computed in time $2^{0.802\, n}$. This contrasts the $2^n$ (gap)-SETH based lower bound that already applies for some tiny, but constant approximation factor. We achieve this result by reducing to the Euclidean case by means of geometric ideas related to high-dimensional coverings. This is joint work with Fritz Eisenbrand and Thomas Rothvoss respectively.

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Digital personality tracking, affective computing, and emotional artificial intelligence (AI) are major growth areas in computer science. Here, I argue the design of contemporary clinical and popular technologies for tracking human emotions, such as smart phone apps or wearable devices, is grounded in a longer, often circuitous history of diverse fields including physiology, clinical psychology, cybernetics, and communication studies. Through this historical analysis, I explain the ongoing impact of the psychological sciences on contemporary Big Data and artificial intelligence (AI) research, and social media platform design and experimentation, and critique the racial, gendered, and cultural assumptions at work in erstwhile neutral contemporary AI systems for measuring and analyzing emotional data.

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April 2018: the Russian Internet (RuNet) watchdog Roskomnadzor (RKN) orders to block the popular Telegram messenger. RuNet users respond with an unprecedented wave of actions, ranging from satirical memes to flashmobs and rallies. The movement for the defense of Telegram, quickly baptized “Digital resistance”, has a rich “e-repertoire of contention”, inspiring a burst of technical creativity, with dozens of new obfuscation and circumvention protocols, proxies and VPNs designed by tech-savvy users -- and by the Telegram team itself -- in order to help bypass governmental censorship.

Drawing from perspectives in science and technology studies (STS), infrastructure studies in particular and relying on a qualitative approach including interviews with Russian technical experts, ISPs, and Internet freedom activists -- this presentation analyzes the Telegram ban in Russia as a socio-technical controversy that unveils the tensions between the governmental narrative of a “sovereign Internet” based on Russian-made censorship and filtering technologies, and the transnational character of global Internet infrastructures.

The original research paper that serves as a material for this seminar was co-authored by Ksenia Ermoshina and Francesca Musiani from the Center for Internet and Society and can be accessed here: https://firstmonday.org/ojs/index.php/fm/article/view/11704

ASCON authenticated encryption with associated data (AEAD) is a CAESAR standard for lightweight applications and also a round 2 candidate in NIST lightweight cryptography standardization competition. ASCON has been in the literature for a while, however, there has been no successful AEAD construction which is secure at the same time lighter than ASCON. In this talk, we show how to overcome the challenge of constructing a permutation that is lighter than the ASCON permutation while ensuring a similar performance. Using this permutation we achieve a lightweight AEAD which we call Sycon. Hardware implementation result shows that the Sycon permutation has 5.35% reduced area, compared to the ASCON permutation. This leads to a remarkable area reduction for Sycon AEAD which is about 14.95% as compared to ASCON AEAD. We regard Sycon as a new milestone as it is the lightest among all the AEADs belonging to the ASCON family.

The Internet isn't gender equitable. In over two-thirds of countries worldwide, there are more male than female users online. And, in India, only 29% of Internet users were reported to be women in 2017. In this talk, I will share findings on how safety & privacy threats limit women's access and free expression online, drawn from our gender equity research in seven countries, spanning nearly 2 years. I will present novel and chilling abuse threats enabled by pervasive social media platforms, resulting in cyberstalking, impersonation and personal data leakages, and how our participants experienced and coped with the threats. I will also share how inadequate privacy on devices led participants to create privacy-preserving practices while sharing phones, such as locks, deleting traces, and avoiding specific digital activities. I will then discuss design implications towards a safer, more private Internet and how they have been applied to various Google products.

Paper sources: https://research.google/pubs/pub47247/ https://research.google/pubs/pub47721/

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We present an ethnographic study of secure software development processes in a software company using the anthropological research method of participant observation. Two PhD students in computer science trained in qualitative methods were embedded in a software company for 1.5 years of total research time. The researchers participated in everyday work activities such as coding and meetings, and observed software (in)security phenomena both through investigating historical data (code repositories and ticketing system records), and through pen-testing the developed software and observing developers’ and management’s reactions to the discovered vulnerabilities. Our study found that 1) security vulnerabilities are sometimes intentionally introduced and/or overlooked due to the difficulty in managing the various stakeholders' responsibilities in an economic ecosystem, and cannot be simply blamed on developers’ lack of knowledge or skills; 2) accidental vulnerabilities discovered in the pen-testing process produce different reactions in the development team, often times contrary to what a security researcher would predict. These findings highlight the nuanced nature of the root causes of software vulnerabilities and indicate the need to take into account a significant amount of contextual information to understand how and why software vulnerabilities emerge during software development. Rather than simply addressing deficits in developer knowledge or practice, this research sheds light on at times forgotten human factors that significantly impact the security of software developed by actual companies. Our analysis also shows that improving software security in the development process can benefit from a co-creation model, where security experts work side by side with software developers to better identify security concerns and provide tools that are readily applicable within the specific context of the software development workflow.

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The most important computational problem on lattices is the Shortest Vector Problem (SVP). In this talk, we present new algorithms that improve the state-of-the-art for provable classical/quantum algorithms for SVP. We present the following results. ∙ A new algorithm for SVP that provides a smooth tradeoff between time complexity and memory requirement. This tradeoff which ranges roughly from enumeration to sieving, is a consequence of a new time-memory tradeoff for Discrete Gaussian sampling above the smoothing parameter. ∙ A quantum algorithm that runs in time 2^{0.9535n+o(n)} and requires 2^{0.5n+o(n)} classical memory and poly(n) qubits. This improves over the previously fastest classical (which is also the fastest quantum) algorithm due to [ADRSD15] that has a time and space complexity 2^{n+o(n)}. ∙ A classical algorithm for SVP that runs in time 2^{1.741n+o(n)} time and 2^{0.5n+o(n)} space. This improves over an algorithm of [CCL18] that has the same space complexity. The time complexity of our classical and quantum algorithms are obtained using a known upper bound of a quantity related to the kissing number of a lattice, which is 2^{0.402n}. In practice this quantity is much smaller and is often 2^o(n) for most lattices. In that case, our classical algorithm runs in time 2^{1.292n} and our quantum algorithm runs in time 2^{0.750n}.

WebAuthn, forming part of FIDO2, is a W3C standard for strong authentication, which employs digital signatures to authenticate web users whilst preserving their privacy. Owned by users, WebAuthn authenticators generate attested and unlinkable public-key credentials for each web service to authenticate users. Since the loss of authenticators prevents users from accessing web services, usable recovery solutions preserving the original WebAuthn design choices and security objectives are urgently needed.

We examine Yubico’s recent proposal for recovering from the loss of a WebAuthn authenticator by using a secondary backup authenticator. We analyse the cryptographic core of their proposal by modelling a new primitive, called Asynchronous Remote Key Generation (ARKG), which allows some primary authenticator to generate unlinkable public keys for which the backup authenticator may later recover corresponding private keys. Both processes occur asynchronously without the need for authenticators to export or share secrets, adhering to WebAuthn’s attestation requirements. We prove that Yubico’s proposal achieves our ARKG security properties under the discrete logarithm and PRF-ODH assumptions in the random oracle model. To prove that recovered private keys can be used securely by other cryptographic schemes, such as digital signatures or encryption schemes, we model compositional security of ARKG using composable games, extended to the case of arbitrary public-key protocols. As well as being more general, our results show that private keys generated by ARKG may be used securely to produce unforgeable signatures for challenge-response protocols, as used in WebAuthn. We conclude our analysis by discussing concrete instantiations behind Yubico’s ARKG protocol, its integration with the WebAuthn standard, performance, and usability aspects.

According to the United States Department of Justice, every 73 seconds, an American is sexually assaulted. However, sexual assault is under-reported. Globally, 95% of sexual assault cases are unreported, and at most, 5 out of every 1,000 perpetrators end up in prison. Online anonymous third-party reporting systems (O-TPRSs) are being developed to encourage reporting of sexual assaults and to apprehend serial offenders. We conducted focus groups and interviews with participants who are sexual assault survivors, support workers, or both. We asked questions related to participants’ concerns with trusting an O-TPRS. Our results suggest that participants had technological and emotional concerns that are related to survivors’ security and privacy. In this talk, I will discuss survivors’ concerns with trusting and using an O-TPRS and provide insights into the challenges of designing O-TPRSs to increase the reporting of sexual assault.

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Due to the special no-cloning principle, quantum states appear to be very useful in cryptography. But this very same property also has drawbacks: when receiving a quantum state, it is nearly impossible for the receiver to efficiently check non-trivial properties on that state without destroying it.

In this talk (which does not expect prior knowledge in quantum and post-quantum cryptography), I will introduce Non-Destructive Zero-Knowledge Proofs on Quantum States. Our method binds a quantum state to a classical encryption of that quantum state (whose security reduces to the hardness of the Learning With Error problem). That way, the receiver can obtain guarantees on the quantum state by asking to the sender to prove properties directly on this classical encryption. This method is therefore non-destructive and it is possible to verify a very large class of properties that would be impossible to verify with a more standard quantum channel. For instance, we can force the sender to send different categories of states depending on whether they know a classical secret or not.

I will also explain how to extend this method to the multi-party setting, and how it can prove useful to distribute a GHZ state between different parties. The protocol ensures that only parties knowing a secret can be part of this GHZ, and that the identity of the parties that are part of the GHZ remains hidden to any malicious party. A direct application would be to allow a server to create a secret sharing of a qubit between unknown parties, authorized for example by a third party Certification Authority.

Isogeny-based cryptography is a relatively new branch of post-quantum cryptography that makes use of elliptic curves and maps between them. Compared to other post-quantum schemes it is fairly slow (while still being practical for most applications) but uses very little memory; for some schemes the memory requirements are even on par with low-memory classical (meaning not-post-quantum) cryptography. We will look at various failed attempts to cryptanalyze the isogeny-based NIST submission 'SIKE'. We have observed many people rediscovering unsuccessful but natural attacks on this scheme and decided to write up a list of our own failed attempts to save others the time that we invested in these ideas. We will first introduce the mathematical background necessary to understand this scheme and then give an overview of the attack avenues that we have tried. This is joint work with Dr Lorenz Panny.

Digital technologies, such as mobile devices and social networks, play an increasingly significant role in intimate partner violence (IPV) settings, including domestic abuse, stalking, and surveillance of victims of abusive partners. IPV survivors increasingly report that abusers install spyware on devices, track locations, monitor communications, and cause emotional and physical harm. In collaboration with the IPV Tech Research Group and the NYC Mayor's Office to End Domestic and Gender-Based Violence, I develop tools and technologies to improve the safety, security, and privacy of survivors of IPV. In this talk, I will discuss my ongoing research in helping survivors understand, navigate, and address technology abuse and how this work led to establishing the Clinic to End Tech Abuse (CETA) to help survivors determine whether their abusers are using technology as a tool to surveil and harm them and to mitigate this abuse. I will also discuss our recent work transitioning to a remote clinic to help survivors address technology abuse as well as the privacy and security challenges that have surfaced during quarantine due to COVID-19.

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Transgender people are marginalized, facing specific privacy concerns and high risk of online and offline harassment, discrimination, and violence. They are also known to use technology more than other groups for critical purposes such as finding accepting friends and community (which may be absent in their real lives) and gathering information on topics such as health and sexuality. In this talk, I'll discuss our recent research studying American transgender people's computer security and privacy experiences. While our questions were broadly construed, participants frequently returned to themes of activism and prosocial behavior, such as protest organization, political speech, and role-modeling transgender identities, so we focused our analysis on these themes. I'll discuss models of risk that participants described influencing many of their security and privacy decisions, and the ways that these risk perceptions may heavily influence transgender people’s defensive behaviors and self-efficacy, jeopardizing their ability to defend themselves or gain technology’s benefits. I'll then discuss currently underway NSF-funded follow-on research aiming to quantify the prevalence of these trends at a population level, discover which of these trends apply also to other marginalized groups, and design new technology that can support the needs of transgender people and other groups in light of these findings.

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This seminar builds on our 2019 CHI paper "'I make up a silly name': Understanding Children's Perception of Privacy Risks Online": https://arxiv.org/pdf/1901.10245.pdf. The paper discussed how children (aged 6-10) could identify and articulate certain privacy risks well, such as information oversharing or revealing real identities online; however, they had less awareness with respect to other risks, such as online tracking or game promotions. Our findings offer promising directions for supporting children’s awareness of cyber risks and the ability to protect themselves online. The talk will also discuss how our research has progressed since 2019 and how it is related to the latest development of children's data protection regulation in the UK.

The talk proposes to conceive of cybersecurity through the lens of care, a notion taken from feminist Science and Technology Studies. Caring for cybersecurity emphasizes on the invisible, morally charged, and experimental practices of doing cybersecurity. Cybersecurity as a "super-wicked problem" does not reside in isolated factors or normative frameworks, but it requires tacit work and uneasy decisions to be made. It requires an analysis of the concrete practices of cybersecurity rather than evaluation or judgment of those. I propose that cybersecurity research deals with practices of care and long-term commitment rather than fixing and moving on. And this must be better resonated in research and policy.

The talk mobilizes findings from a 13-month ethnographic study in two German critical infrastructure companies. Both companies are in the midst of creating new data infrastructures accommodation data science and big data. Cybersecurity was unsettled in the process and became a core concern - which is rarely the case. This aided me as an ethnographer to observe cybersecurity in "action", but more than that controversies drew me in and asked for anthropology-informed ways of dealing with conflicts between developers and security officers, security officers and management, or developers and other developers. I argue that the notion of care was helpful in these conflicts yet again as it emphasized on mutual understanding and compromise rather than following the rule book.

I take inspiration in feminist and post-Actor Network Theory approaches that emphasize less on compliance and conformity and rather on fluidity and multiplicity. I find these approaches intriguing for cybersecurity research because they offer more nuanced understandings of conflicting accountabilities, tension and non-normativity as much as commitment and care.

This seminar reflects on our 2009 CHI paper Ethnography Considered Harmful: http://www.cs.nott.ac.uk/~pszaxc/work/CHI09.pdf The paper reviewed the current status of ethnography in systems design and focused particularly on new approaches to and understandings of ethnography that emerged as the computer moved out of the workplace. These approaches sought to implement a different kind of ethnographic study. In doing so they reconfigured the relationship ethnography has to systems design, replacing detailed empirical studies of situated action with studies that provide cultural interpretations of action and critiques of the design process itself. We hold these new approaches to and understandings of ethnography in design up to scrutiny, with the purpose of enabling designers to appreciate the differences between new and existing approaches to ethnography in systems design and the practical implications this might have for design. The paper was further elaborated in the book Deconstructing Ethnography: Towards a Social Methodology for Interactive and Ubiquitous Systems Design: https://www.springer.com/gp/book/9783319219530

We will review recent work on Quantum Machine Learning and discuss the prospects and challenges of applying this new exciting computing paradigm to machine learning applications.

What is deniability? Although it might sound trivial, this question have sparked a series of debates on the privacy/security community ranging from a legal to a technical perspective. In the context of secure communications and channels, this question is notoriously difficult to approach and analyze. To answer it, one needs to look at the broader picture in which deniability applies. In this talk, we will look at how a notion of deniability can be attained by making more explicit the definitions given in the work of Canetti et al., Unger, and Walfish.

Given these prior notions, does deniability can be applied in context of secure communication and channels? In this talk, we will try to clarify what deniability means in terms of communication, and specify how it can implemented (and what it needs) in the real world.

Type-two constructions abound in cryptography: adversaries for encryption and authentication schemes, if active, are modeled as algorithms having access to oracles, i.e. as second-order algorithms. But how about making cryptographic schemes themselves higher-order? This paper gives an answer to this question, by first describing why higher-order cryptography is interesting as an object of study, then showing how the concept of probabilistic polynomial time algorithm can be generalized so as to encompass algorithms of order strictly higher than two, and finally proving some positive and negative results about the existence of higher-order cryptographic primitives, namely authentication schemes and pseudorandom functions.

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Fine-grained cryptography is concerned with adversaries that are only moderately more powerful than the honest parties. We will survey recent results in this relatively underdeveloped area of study and examine whether the time is ripe for further advances in it.

The notion of zero knowledge proofs underlies many of the mechanism for obtaining verifiable, privacy-preserving delegation of computation. Loosely speaking, zero knowledge proofs are interactive proof systems that reveal nothing other than the validity of the assertion being proven.

With the rise of quantum information and the growing evidence that small-to-medium scale quantum computers may be possible in the near future, we have ample reasons to understand what possibilities quantum computing offers for privacy-preserving delegation of computation, as well as what security threats does it pose.

In this talk, I will present the first construction of zero-knowledge proofs that are sound against quantum-entangled adversaries. The talk will be self-contained, and no preliminary knowledge in quantum computing is necessary.

Based on joint work with Alessandro Chiesa, Michael Forbes, and Nicholas Spooner (JACM 2021), as well as ongoing work.

Many modern processors expose privileged software interfaces to dynamically modify the frequency and voltage. These interfaces were introduced to cope with the ever-growing power consumption of modern computers. In this talk we show how these privileged interfaces can be exploited to undermine the system’s security. We present the Plundervolt attack – demonstrating how we can corrupt the integrity of Intel SGX computations. We also investigate whether Intel's mitigations have worked.

Cryptography underpins a multitude of critical security- and privacy-enhancing technologies. Recent advances in modern cryptography promise to revolutionize finance, cloud computing and data analytics. But cryptography does not affect everyone in the same way. In this talk, I will discuss how cryptography benefits some and not others and how cryptography research supports the powerful but not the disenfranchised.

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This talk builds and expands on the findings from the 2017 USENIX Security paper, "When the Weakest Link is Strong: Secure Collaboration in the Case of the Panama Papers" to explore when and how security practices can and are successfully applied and adopted by groups under risk. The paper's findings suggest that the sociocultural context in which security measures are introduced has an enormous impact on their effectiveness - in this case study, transforming the users from the "weakest link" to the strongest.

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We are increasingly surrounded by simple (and not so simple) devices with computational and communication capability, which assist us in everyday tasks and together comprise the idea of an Internet-of-Things. To perform their duties these devices are often required to set up ad-hoc connections to interact, and this is could often be with another device or a system where no prior trust relationship exists between the parties. Establishing a secure connection between two devices in such an unstructured environment presents some interesting research problems. Unfortunately, not all these problems can be solved with conventional cryptographic mechanisms alone, and we need to look at alternative ways to reinforce existing security mechanisms by incorporating the physical context of a device into security protocols. Distance-bounding protocols allow a verifier to both authenticate a prover and evaluate whether the latter is located in his vicinity. These protocols are of particular interest in contactless systems, e.g., electronic payment or access control systems, which are vulnerable to distance-based frauds. This talk gives a briefly introduces the use of physical context in secure mechanisms before providing an overview on distance-bounding protocols.

Algebraic structure lies at the heart of much of Cryptomania as we know it. An interesting question is the following: instead of building (Cryptomania) primitives from concrete assumptions, can we build them from simple Minicrypt primitives endowed with additional algebraic structure? In this work, we affirmatively answer this question by adding algebraic structure to the following Minicrypt primitives: one-way functions, weak unpredictable functions and weak pseudorandom functions. The algebraic structure that we consider is group homomorphism over the input/output spaces of these primitives. We show that these structured primitives can be used to construct several Cryptomania primitives in a generic manner.

Our results make it substantially easier to show the feasibility of building many cryptosystems from novel assumptions in the future. In particular, we show how to realize any CDH/DDH-based protocol with certain properties in a generic manner from input-homomorphic weak unpredictable/pseudorandom functions, and hence, from any concrete assumption that implies the existence of these structured primitives.

Our results also allow us to categorize many cryptographic protocols based on which structured Minicrypt primitive implies them. In particular, endowing Minicrypt primitives with increasingly richer algebraic structure allows us to gradually build a wider class of cryptoprimitives. This seemingly provides a hierarchical classification of many Cryptomania primitives based on the "amount" of structure inherently necessary for realizing them.

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Cities are experimenting with new kinds of digitally augmented street furniture that recombine urban forms, like benches, pay phones and advertising billboards, with digital technologies such as free wi-fi, sensors and digital screens (Wessels & Humphry et al., 2020). The offer of free digital services is a key selling-point for local governments confronting urban digital inequalities, ageing public utilities and state withdrawal from public infrastructure investments. This talk reports on findings from two studies, the first: on LinkNYC, a city-wide implementation of smart kiosks in New York City; the second: on the design, use and governance of InLinkUK smart kiosks in Glasgow and Strawberry Energy smart benches in London, conducted as part of an international collaboration with the University of Glasgow. These studies found that precariously connected media users such as the street homeless, students and gig workers, rely on these services to maintain access but are exposed to new kinds of security and safety risks at the point of connection. These asymmetrical connections include: 'insecure connections' because of lack of support for wireless encryption in low-end Android devices; 'reduced physical safety' as kiosk and bench services are accessed in open public spaces, 'greater exposure to commercial data exploitation' and 'to police and legal enforcement' since even with privacy protections in place there is potential for data and footage to be shared with third parties including enforcement agencies. Despite users making strategic trade-offs in their engagement with these urban objects, these are not enough to overcome the asymmetries encoded in their design.

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In this talk I will present a quantum reduction from the problem of sampling short vectors in a code to the problem of decoding its dual. Usually codes are endowed with the Hamming metric but as I will show the reduction works for a large class of metrics (including the rank and Lee metrics). Furthermore, in many cases, we are able to show that thanks to a quantum computer solving the decoding problem at distance t we can find short codewords of weight f(t) for some explicit function. Surprisingly, for codes equipped with the Hamming metric the function f is in relationship with the first linear programming bound of McEliece-Redomich-Rumsey-Welch. This result is rather intriguing and does not seem to have a simple interpretation for now.

The main technical tool used in the proof is the discrete Fourier transform. The proof follows the same ideas of Regev’s quantum reduction between the Closest Vector Problem and sampling short lattice vectors. More precisely, the proof I will present uses with codes the same techniques as Stehlé, Steinfeld, Tanaka and Xagawa ’s re-interpretation of Regev’s proof.

This is joint work with Maxime Remaud and Jean-Pierre Tillich

In this talk, I will revisit a paper Arun Kundnani, Joris van Hoboken and I started writing in 2014 and published in 2016. In the backdrop of our writing sessions in New York were the Black Lives Matter protests that started in Ferguson and spread nationwide, and human rights advocates disputing surveillance programs targeting muslim communities in New York and New Jersey. While counter-surveillance was at the heart of all these developments, they flourished in communities and spoke to constituencies that were mostly distinct from another group that some of us were circling in: privacy advocates, progressive security engineers, and policy makers, who following Edward Snowden’s revelations of US and UK surveillance programs had been seeking to win majority support for countering surveillance. The paper studies this discrepancy by taking a closer look at the activities, discourse and solutions propose by the latter group. It describes the ways in which advocates of privacy framed the problem as the replacement of targeted surveillance with mass surveillance programs, and identified the solutions as predominantly technical and involving the use of encryption – or ‘crypto’ – as a defense mechanism. The paper further illustrated that by raising the specter of an Orwellian system of mass surveillance, shifting the discussion to the technical domain, and couching that shift in economic terms undermined a political reading that would attend to the racial, gendered, classed, and colonial aspects of the US and UK surveillance programs. We asked then: how can this specific discursive framing of counter-surveillance be re-politicized and broadened to enable a wider societal debate informed by the experiences of those subjected to targeted surveillance and associated state violence? During the talk, I hope we can revisit this question anew given how in 2020 COVID-19 has come to normalize surveillance in the name of public health, replacing the "war on terror" with the "war on the virus" and we see the rise of a fresh wave of global protests around Black Lives Matter.

Recent high-profile attacks on the Internet of Things (IoT) have brought to the forefront the vulnerability of “smart” devices. This has resulted in IoT technologies and end devices being subjected to numerous security analyses. One source that has the potential to provide rich and definitive information about an IoT device is the IoT firmware itself. However, analysing IoT firmware is notoriously difficult, as peripheral firmware files are predominantly available as stripped binaries, without the debugging symbols that would simplify reverse engineering. In this talk, we will present an open-source tool, argXtract, that extracts configuration information from Supervisor Calls within a stripped ARM Cortex-M binary file. Through a combination of generic ARM assembly analysis and vendor-specific configurations, argXtract is able to generate call trace chains and statically “execute” a firmware file in order to retrieve and process arguments to Supervisor Calls. This enables automated bulk analysis of firmware files, to derive statistical security information. We will also present a real-world test case in which we configure argXtract to obtain Bluetooth Low Energy security configurations from Nordic Semiconductor firmware files, and execute it against a dataset of 246 firmware binaries. The results demonstrate that privacy and security vulnerabilities are prevalent in IoT.

Recent research efforts on adversarial ML have begun to investigate problem-space attacks, focusing on the generation of real evasive objects in domains where, unlike images, there is no clear inverse mapping to the feature space (e.g., malware). However, the design, comparison, and real-world implications of problem-space attacks remain underexplored.

In this talk, I will present two major contributions from our recent IEEE S&P 2020 paper [1]. First, I will present our novel reformulation of adversarial ML evasion attacks in the problem-space (also known as realizable attacks). This requires us to consider and reason about additional constraints that feature-space attacks ignore, which shed light on the relationship between feature-space and problem-space attacks. Second, building on our reformulation, I will present a novel problem-space attack for generating end-to-end evasive Android malware, showing that it is feasible to generate evasive malware at scale, while evading state-of-the-art defenses.

[1] Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro. “Intriguing Properties of Adversarial ML Attacks in the Problem Space”. IEEE Symp. Security & Privacy (Oakland), 2020.

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The summer of 2020 saw the largest anti-racist protests in British history. In order to understand how deeply entrenched racism is to British policing, we must look beyond the British mainland and into the colonial policing which shaped racial governance. It is in this context that we can better explore how policing and racism are resisted in 21st century Britain. This postcolonial lens will help analyse spontaneous resistance and organised radical campaigns which envision a world in which state punishment and violence is replaced with solidarity, care and co-operation.

Over the last several years, numerous journalists and news organizations have reported incidents in which their communications have been hacked, intercepted, or retrieved. In 2014, Google security experts found that 21 of the world’s 25 most popular media outlets were targets of state-sponsored hacking attempts, and many journalists have watched helplessly as hackers took control of their social media accounts, targeting confidential information in their internal servers. When journalists’ digital accounts are vulnerable to hacks or surveillance, news organizations, journalists, and their sources are at risk, and journalists’ ability to carry out their newsmaking function is reduced. Yet, some journalists do not believe that hacking and surveillance are significant threats, and they are not adopting information security measures to protect their data, themselves, or their sources. This research study includes 19 interviews with journalists, developers, and digital security trainers to shed light on journalists’ perceptions of information security technologies, including motivations to adopt and barriers to adoption. The findings show that motivations to adopt information security technologies hinge on the idea of protection: protection of self, story, and the journalist’s role—more so than the protection of the source, contrary to contemporary discourse about why journalists need to adopt such technologies.

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How do technologies mediate security practices and how can we study them? In this talk I draw on my fieldwork in banks to show how banks rely on technologies to detect suspicious transactions that may be connected to money laundering or terrorism financing. Inspired by work at the intersection of (critical) security studies and science and technology studies, I foreground the role of digital technologies in the production of security expertise by compliance officers and intelligence analysts in banks. The research is based on multi-sited ethnography centred around ‘sites of experimentation’.

In this talk I'll give an overview of my research on the security and privacy experiences of at-risk users. The talk will center on two studies with different populations: women in South Asia [1] and survivors of intimate partner abuse [2].

[1] “‘They Don't Leave Us Alone Anywhere We Go’: Gender and Digital Abuse in South Asia.” Nithya Sambasivan, Amna Batool, Nova Ahmed, Tara Matthews, Kurt Thomas, Sane Gaytán, David Nemer, Elie Bursztein, Elizabeth Churchill, Sunny Consolvo. CHI 2019   (Best Paper)

[2] “Stories from survivors: Privacy & security practices when coping with intimate partner abuse.” Tara Matthews, Kathleen O'Leary, Anna Turner, Manya Sleeper, Jill Palzkill Woelfer, Martin Shelton, Cori Manthorne, Elizabeth F Churchill, Sunny Consolvo. CHI 2017   (Best Paper)

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In the 1990s the US government feared the emergence of encryption technologies that would prevent them from conducting legal intercept and signals intelligence.

To preserve their capabilities, whilst at the same time providing public key encryption to citizens, the government developed a key escrow technology, the Clipper Chip, which would allow warranted recovery of suspect's encryption keys. In parallel, the government used export regulations in an attempt to prevent strong encryption escaping their borders and reaching foreign adversaries.

Opposing government policies were the digital privacy activists, including the Cypherpunks, a group of borderline anarchist technologists. The digital privacy activists developed and disseminated encryption technologies such as PGP to undermine government policies. The privacy activists also challenged the government export regulations in the courts in an attempt to have them declared unconstitutional.

This seminar will explore the main events of the battle between the government and digital privacy activists during the 1990s.

In this work, we consider the computer security and privacy practices and needs of recently resettled refugees in the United States. We ask: How do refugees use and rely on technology as they settle in the US? What computer security and privacy practices do they have, and what barriers do they face that may put them at risk? And how are their computer security mental models and practices shaped by the advice they receive? We study these questions through in-depth qualitative interviews with case managers and teachers who work with refugees at a local NGO, as well as through focus groups with refugees themselves. We find that refugees must rely heavily on technology (e.g., email) as they attempt to establish their lives and find jobs; that they also rely heavily on their case managers and teachers for help with those technologies; and that these pressures can push security practices into the background or make common security “best practices” infeasible. At the same time, we identify fundamental challenges to computer security and privacy for refugees, including barriers due to limited technical expertise, language skills, and cultural knowledge — for example, we find that scams as a threat are a new concept for many of the refugees we studied, and that many common security practices (e.g., password creation techniques and security questions) rely on US cultural knowledge. From these and other findings, we distill recommendations for the computer security community to better serve the computer security and privacy needs and constraints of refugees, a potentially vulnerable population that has not been previously studied in this context.

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In this talk, I will revisit a qualitative research project examining how digital activists navigate risks posed to them in online environments. I examined how a group of activists across ten different non-Western countries adapted and responded to threats posed by two types of powerful actors: both the state, and technology companies that run the social media platforms on which many activists rely to conduct their advocacy. Through a series of interviews, I examined how resistance against censorship and surveillance manifested in everyday practices, not just the use of encryption and circumvention technologies, but also the choice to use commercial social media platforms to their advantage despite considerable ambivalence about the risks they pose. Much has changed in the digital landscape since I first conducted this work: in the discussion I plan to engage with how these findings prefigured larger concerns about misinformation and digital surveillance, and illustrate the importance of balancing locally contingent interpretations of risk against the larger geopolitical backdrop in which technology companies now play an important role.

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In this talk we investigate the problem of automating the development of adaptive chosen ciphertext attacks on systems that contain vulnerable format oracles. Rather than simply automate the execution of known attacks, we consider a more challenging problem: to programmatically derive a novel attack strategy, given only a machine-readable description of the plaintext verification function and the malleability characteristics of the encryption scheme. We present a new set of algorithms that use SAT and SMT solvers to reason deeply over the design of the system, producing an automated attack strategy that can entirely decrypt protected messages.

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Since the 1960s we have been told that new computing technologies are ushering in a new era: the Computer Revolution and Knowledge Economy (1962), Global Village and One-Dimensional Man (1964), the Third (1975) and the Fourth (2015) Industrial Revolutions(s). There was never a consensus on which kind of computational techniques were behind the change. Then in the 1990s a number of humanities academics discovered the Internet. They used their understanding of its technical architecture to define the relevant properties of computation that were behind our emerging network society. Canonical scholarship emerged (Castells 1996) alongside cyberlibertarian visions (Barlow 1996) that told much the same story: computer networks were not only naturally decentralized and liberating, they were welcome solvents on the old, centralized order. When cryptography burst into public (and humanist) consciousness, it could only make things even better by further empowering the individual.

In my talk I want to offer a different characterization of the relationship between computer networks, cryptography, and their consequences for society. To do so, I go back to one of the beginnings, to Paul Baran's Distributed Adaptive Message Block Network, as outlined in his canonical On Distributed Communications--drawing in particular on the formerly classified twelfth volume of this series. Rather than envision networks as naturally distributed and open, Baran can help us better characterize them as naturally closed, encrypted, and at odds with individual liberty. I will discuss other reasons for this claim, as well as its consequences--offering an outline of what networks mean when we build cryptography into their identity and function.

Drawing on the experiences of a novel collaborative project between sociologists and computer scientists, this talk identifies a set of challenges for fieldwork that are generated by this 'wild interdisciplinarity'. Public Access Wi-Fi Service was a project funded by an ‘in-the-wild’ research programme, involving the study of digital technologies within a marginalised community, with the goal of addressing digital exclusion. I argue that similar forms of research, in which social scientists are involved in the deployment of experimental technologies within real world settings, are becoming increasingly prevalent. The fieldwork for the project was highly problematic, with the result that few users of the system were successfully enrolled. I'll analyse why this was the case, identifying three sets of issues which emerge in the juxtaposition of interdisciplinary collaboration and wild setting. I conclude with a set of recommendations for projects involving technologists and social scientists.

This talk will revisit joint work with Harry Halpin and Ksenia Ermoshina, conducted in the frame of the H2020 European project NEXTLEAP (2016-2018, nextleap.eu). Due to the increased and varied deployment of secure messaging protocols, differences between what developers “believe” are the needs of their users and their actual needs can have very tangible and potentially problematic consequences. Based on 90 interviews with both high and low-risk users, as well as with several developers, of popular secure messaging applications, we mapped the design choices made by developers to threat models of both high-risk and low-risk users. Our research revealed interesting and sometimes surprising results, among which: high-risk users often consider client device seizures to be more dangerous than compromised servers; key verification is important to high-risk users, but they often do not engage in cryptographic key verification, instead using other “out of band” means; high-risk users, unlike low-risk users, often need pseudonyms and are heavily concerned over metadata collection. Developers tend to value open standards, open-source, and decentralization, but high-risk users often find these aspects less urgent given their more pressing concerns; and while, for developers, avoiding trusted third parties is an important concern, several high-risk users are in fact happy to rely on trusted third parties ‘protected’ by specific geo-political situations. We conclude by suggesting that work still needs to be done for secure messaging protocols to be aligned with real user needs, including high-risk, and with real-world threat models.

In just a few years, Fully Homomorphic Encryption (FHE) has gone from a theoretical “holy grail” of cryptography to a commercial product. This is in part due to the development of Machine Learning as a Service, and the fact that our society has evolved to be data-driven. As a consequence, secure computation has become more valuable and has seen some great advances. In this talk, we will discuss some of these improvements in FHE, as well as some of the latest implementation results. We will finish by discuss one of the main challenges in FHE, the analysis of the noise growth in an FHE ciphertext.

It is well known that older adults continue to lag behind younger adults in terms of their breadth of uptake of digital technologies, amount and quality of engagement in these tools and ability to critically engage with the online world. Can these differences be explained by older adults’ distrust of digital technologies? Is trust, therefore, a critical design consideration for appealing to older adults? In this talk I will argue that while distrust is not, in fact, determinative of non-use and therefore does not explain these differences in tech usage, it is nonetheless key for designers to understand older adult distrust in developing socially responsible technologies.

Traditionally, “provable security” was tied in the minds cryptographers to public-key cryptography, asymptotic analyses, number-theoretic primitives, and proof-of-concept designs. In this talk I survey some of the work that I have done (much of it joint with Mihir Bellare) that has helped to erode these associations. I will use the story of practice-oriented provable security as the backdrop with which to make the case for what might be called a “social constructionist” view of our field. This view entails the claim that the body of work our community has produced is less the inevitable consequence of what we aim to study than the contingent consequence of sensibilities and assumptions within our disciplinary culture.

Note the changed time.

Distance bounding protocols constitute a special class of authentication protocol, in which participants must verify not only the identity of their partner, but also their physical location. They are important for systems such as contactless card payments or electronic doors, to avoid scenarios in which an attacker might relay messages over a longer distance than intended. This is typically achieved by using a time-sensitive challenge-response phase, where the verifying agent estimates distance by calculating the round trip time of their challenge messages. There are some difficulties in applying traditional security verification approaches to this family of protocols. Symbolic approaches, which aim to abstract away details (such as the nature of the cryptographic primitives used), must deal with the fact that many attack scenarios are intrinsically linked with the location and timing of messages.

In this talk, we present a model for analysing distance bounding protocols. The model of Basin et al., which uses a bespoke implementation in Isabelle/HOL, is adapted to remove speed-of-light calculations for message timings. Instead, a (provably) equivalent security claim is developed that instead focuses on the precise ordering of actions during a protocol execution. This approach enables an embedding into the Tamarin prover tool, allowing for rapid automated verification. Further, we discuss extensions to the model to analyse so-called "dishonest" agents -- who generally follow their specification but are willing to temporarily deviate in order to collaborate with the network adversary. Such agents are particularly relevant for modelling "Terrorist fraud" attacks, where an adversary can be (illegally) granted a one-time key. Finally, the results of an extensive literature survey is presented, discussing common pitfalls in protocol design.

In this talk, I discuss the ethical challenges and dilemmas that arise as a result of state involvement in academic research on ‘terrorism’ and ‘extremism’. I suggest that researchers and research institutions need to be more attentive to the possibilities of co-option, compromise, conflict of interests and other ethical issues. I empirically examine the relationship between academic researchers and the security state. I highlight three key ways in which ethical and professional standards in social scientific research can be compromised: (1) Interference with the evidence base (through a lack of transparency on data and conflicts of interest); (2) Collaboration on research supporting deception by the state which undermines the ability of citizens to participate in democratic processes; and (3) Collaboration on research legitimating human rights abuses, and other coercive state practices. These issues are widespread, but neglected, across: literature on 'terrorism' and 'extremism'; literature on research ethics; and, in practical ethical safeguards and procedures within research institutions. In order to address these issues more effectively, I propose that any assessment of research ethics must consider the broader power relations that shape knowledge production as well as the societal impact of research. In focusing on the centrality of states – the most powerful actors in the field of ‘terrorism’ and ‘extremism’ – our approach moves beyond the rather narrow procedural approaches that currently predominate. I argue more attention to the power of the state in research ethics will not only help to make visible, and combat, ethically problematic issues, but will also help to protect the evidence base from contamination. I conclude by proposing a series of practical measures to address the problems highlighted.

In this talk, I will briefly present both the EasyCrypt interactive proof assistant—whose focus is on the formalization of game-based cryptographic security proofs, before discussing its application to the SHA-3 standard. In combination with the Jasmin language—an "assembly-in-the-head" language with formalized semantics and a certified compiler—our proof is used to produce a complete high-assurance standard, with machine-checked proofs, verified reference implementations, and a verified optimized implementation for a specific platform.

I will discuss some of the challenges encountered in formalizing the security proof, and discuss the techniques afforded by the combined use of "interactive first" technologies such as Jasmin and EasyCrypt, which allow us to produce highly-efficient, yet fully verified, implementations. Some future perspectives may be discussed

Hybrid Authenticated Key Exchange (AKE) protocols combine keying material from different sources (for instance, post-quantum and classical secure key exchange primitives) to build protocols that are resilient to catastrophic failures of the different components. In this talk, I will present the results of a recent work with Torben Hansen and Kenny Paterson: a new hybrid key exchange protocol called Muckle - a simple one-round-trip key exchange protocol that combines preshared keys, post-quantum and classical key encapsulation mechanisms, and quantum key distribution protocols. I will also discuss a general framework HAKE for the analysis of hybrid AKE protocols, and demonstrate the security of our approach with respect to a powerful attacker, capable of fine-grained compromise of different cryptographic components. HAKE is broad enough to allow us to capture forward secrecy, multi-stage key exchange security, and post-compromise security. I will present an implementation of our Muckle protocol, instantiating our generic construction with classical and post-quantum Diffie-Hellman-based algorithmic choices and discuss the results of benchmarking exercises against our implementation.

Mobile sensors have already proven to be helpful in different aspects of people’s everyday lives such as fitness, gaming, navigation, etc. However, illegitimate access to these sensors results in a malicious program running with an exploit path. While the users are benefiting from richer and more personalized apps, the growing number of sensors introduces new security and privacy risks to end users and makes the task of sensor management more complex. In this talk, first, we discuss the issues around the security and privacy of mobile sensors. We investigate the available sensors on mainstream mobile devices and study the permission policies that Android, iOS and mobile web browsers offer for them. Second, we reflect the results of two workshops that we organized on mobile sensor security. In these workshops, the participants were introduced to mobile sensors by working with sensor-enabled apps. We evaluated the risk levels perceived by the participants for these sensors after they understood the functionalities of these sensors. The results showed that knowing sensors by working with sensor-enabled apps would not immediately improve the users’ security inference of the actual risks of these sensors. However, other factors such as the prior general knowledge about these sensors and their risks had a strong impact on the users’ perception. We also taught the participants about the ways that they could audit their apps and their permissions. Our findings showed that when mobile users were provided with reasonable choices and intuitive teaching, they could easily self-direct themselves to improve their security and privacy. Finally, we provide recommendations for educators, app developers, and mobile users to contribute toward awareness and education on this topic.

*** I have a PhD studentship for Sep 2020 on "Cyber Security in Farm and Companion Animal Technologies" (schools of computing and agriculture) at Newcastle University. If you are interested, come and talk to me after the presentation, or email me any time.

This talk will explore the disruptive and transformative effects of digital technology on gendered security asymmetries in Greenland. Through extended ethnographic fieldwork conducted in Greenland and Denmark, research findings emerged through in-depth interviews, collaborative mappings and field observations with 51 participants. Employing a critical feminist lens, the paper identifies how Greenlandic women develop digital security practices to respond to Greenland's ecologically, politically and socially induced transformation processes. By connecting individual security concerns of Greenlandic women with the broader regional context, the findings highlight how digital technology has created transitory spaces in which collective security is cultivated, shaped and challenged. The contribution to security scholarship is therefore threefold: (1) identification and acknowledgement of gendered effects of increased usage of digital technology in remote and hard-to-reach communities, (2) a broader conceptualisation of digital security and (3) a recommendation for more contextualised, pluralistic digitalisation design.

This talk is based on: Wendt, Nicola, Rikke Bjerg Jensen and Lizzie Coles-Kemp. "Civic Empowerment through Digitalisation: the Case of Greenlandic Women." In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems - CHI'20, New York, 2020. ACM Press.

Academic research on machine learning-based malware classification appears to leave very little room for improvement, boasting F1 performance figures of up to 0.99. Is the problem solved? In this talk, we argue that there is an endemic issue of inflated results due to two pervasive sources of experimental bias: spatial bias, caused by distributions of training and testing data not representative of a real-world deployment, and temporal bias, caused by incorrect splits of training and testing sets (e.g., in cross-validation) leading to impossible configurations. To overcome this issue, we propose a set of space and time constraints for experiment design. Furthermore, we introduce a new metric that summarizes the performance of a classifier over time, i.e., its expected robustness in a real-world setting. Finally, we present an algorithm to tune the performance of a given classifier. We have implemented our solutions in TESSERACT, an open source evaluation framework that allows a fair comparison of malware classifiers in a realistic setting. We used TESSERACT to evaluate two well-known malware classifiers from the literature on a dataset of 129K applications, demonstrating the distortion of results due to experimental bias and showcasing significant improvements from tuning.

The main results of this talk are published in: - Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro . TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. USENIX Security Symposium, 2019.

It is just over ten years since the first academic work on Automatic Exploit Generation (AEG). In this talk I will provide a brief history of the topic, and explain the current state of the art and open problems. I will then discuss our most recent work on greybox exploit generation against language interpreters. Language interpreters, such as those for Python, PHP, Javascript etc., are typically large and complex applications and difficult to analyse using whitebox methods, such as symbolic execution. In this work we have sought to create an entirely greybox pipeline for AEG. To do so we have broken down the exploit generation problem into several subproblems, constructed greybox solutions for each, and chained these solutions together to produce exploits. Our current implementation can produce exploits for the Python and PHP interpreters, and I will outline our ongoing efforts to extend this to Javascript interpreters.

Much attention in cyber security has turned to new technologies and new materialities of information. These overlook the fact that much of security attention in everyday life is oriented around more conventional objects of security, such as documents. In this talk, I discuss why scholars should take documents and other everyday materialities more seriously. I build my argument based on ethnographic fieldwork conducted in the South Korean corporate world between 2011 and 2017. First, I suggest that even as organizations are increasingly paperless, documents nevertheless persist as focal objects, serving as idealised informational containers. Second, I suggest that digital security is not distinct from older material forms, such as paper; in contrast, new digital infrastructures are increasingly developed to protect older forms, such as cloud storage. Third, documents fit within social practices of protection beyond formal demands of information protection. I demonstrate how Korean employees I researched with treated documents with extra protection beyond legal requirements. These arguments point to new ways of thinking about how 'everyday' dimensions of security and securitisation are mediated by specific material objects and practices.

Underground communities attract people interested in illicit activities and easy-money making methods. In this joint talk, we will discuss the role of these forums in two different activities: eWhoring and the use of malware for illicit cryptocurrency mining.

On the one hand, eWhoring is the term used by offenders to refer an online fraud where they imitate partners in cyber-sexual encounters. Using all sort of social engineering skills, offenders aim at scamming their victims into paying for sexual-related material of a third-party person. We have analysed material and tutorials posted in underground forums to sed light into this previously-unknown deviant activity.

On the other hand, illicit crypto-mining uses stolen resources to mine cryptocurrencies for free. This threat is now pervasive and growing rapidly. Our talk will cover how this ecosystem is evolving, how much harm it is causing, and how can it be stopped. Our measurement shows that criminals have illicitly mined about 4.4% of the Monero cryptocurrency (we estimate that this accounts for 58 million USD). We also observe that there is a considerably small number of actors that hold sway this crime. Furthermore, we note that there is an increasing level of support offered by criminals in underground markets, that allow other criminals to run inexpensive malware-driven mining campaigns. This explains why this threat has grown sharply in 2018.

We put forward the notion of subvector commitments (SVC): An SVC allows one to open a committed vector at a set of positions, where the opening size is independent of length of the committed vector and the number of positions to be opened. We propose two constructions under variants of the root assumption and the CDH assumption, respectively. We further generalize SVC to a notion called linear map commitments (LMC), which allows one to open a committed vector to its images under linear maps with a single short message, and propose a construction over pairing groups.

Equipped with these newly developed tools, we revisit the “CS proofs” paradigm [Micali, FOCS 1994] which turns any arguments with public-coin verifiers into non-interactive arguments using the Fiat-Shamir transform in the random oracle model. We propose a compiler that turns any (linear, resp.) PCP into a non-interactive argument, using exclusively SVCs (LMCs, resp.). For an approximate 80 bits of soundness, we highlight the following new implications:

1. There exists a succinct non-interactive argument of knowledge (SNARK) with public-coin setup with proofs of size 5360 bits, under the adaptive root assumption over class groups of imaginary quadratic orders against adversaries with runtime $2^128$. At the time of writing, this is the shortest SNARK with public-coin setup.

2. There exists a non-interactive argument with private-coin setup, where proofs consist of 2 group elements and 3 field elements, in the generic bilinear group model.

In 2018, clinics and hospitals were hit with numerous attacks leading to significant data breaches and interruptions in medical services. An attacker with access to medical records can do much more than hold the data for ransom or sell it on the black market.

In this talk, I will show how an attacker can use deep-learning to add or remove evidence of medical conditions from volumetric (3D) medical scans, using an autonomous malware. An attacker may perform this act in order to stop a political candidate, sabotage research, commit insurance fraud, perform an act of terrorism, or even commit murder. The attack is implemented using a 3D conditional GAN, and the exploitation framework (CT-GAN) is completely automated. Although the body is complex and 3D medical scans are very large, CT-GAN achieves realistic results which can be executed in milliseconds.

To evaluate the attack, we will focus on injecting and removing lung cancer in CT scans. We found that three expert radiologists and a state-of-the-art deep learning screening AI were highly susceptible to this attack. Moreover, I will show how this attack can be applied to other medical conditions such as brain tumors. To evaluate the threat, we will explore the attack surface of a modern radiology network and I will demonstrate one attack vector: a covert pen-test I performed on an active hospital to intercept and manipulate CT scans.

Finally, I will conclude by discussing the root causes of this threat, and countermeasures which can be implemented immediately to mitigate it.

The advent of blockchain protocols brought to light a number of applications that could benefit from a large scale Byzantine resilient consensus system. At the same time a number of significant challenges were put forth in terms of scalability, energy efficiency, privacy, and the relevant threat model that such protocols may be proven secure for. In this talk I will give an overview of recent and ongoing research in the area of designing distributed ledgers based on blockchain protocols focusing on results such as the Ouroboros proof of stake blockchain protocols (Crypto'17, Eurocrypt'18, ACM-CCS'18, IEEE S&P'19) as well as other related constructions aiming to improve the interoperability and the incentive structure of distributed ledgers.

We introduce a formal quantitative notion of “bit security” for a general type of cryptographic games (capturing both decision and search problems), aimed at capturing the intuition that a cryptographic primitive with k-bit security is as hard to break as an ideal cryptographic function requiring a brute force attack on a k-bit key space. Our new definition matches the notion of bit security commonly used by cryptographers and cryptanalysts when studying search (e.g., key recovery) problems, where the use of the traditional definition is well established. However, it produces a quantitatively different metric in the case of decision (indistinguishability) problems, where the use of (a straightforward generalization of) the traditional definition is more problematic and leads to a number of paradoxical situations or mismatches between theoretical/provable security and practical/common sense intuition. Key to our new definition is to consider adversaries that may explicitly declare failure of the attack. We support and justify the new definition by proving a number of technical results, including tight reductions between several standard cryptographic problems, a new hybrid theorem that preserves bit security, and an application to the security analysis of indistinguishability primitives making use of (approximate) floating point numbers. This is the first result showing that (standard precision) 53-bit floating point numbers can be used to achieve 100-bit security in the context of cryptographic primitives with general indistinguishability-based security definitions. Previous results of this type applied only to search problems, or special types of decision problems.

This is joint work with Daniele Micciancio

The problem of making computing systems trustworthy is often framed in terms of ensuring that users can trust systems. In contrast, my research illustrates that trustworthy computing intrinsically relies upon social trust in the operation of systems, as much as in the use of systems. Drawing from cases including the Border Gateway Protocol, DNS, and the PGP key server pool, I will show how the trustworthiness of the Internet's infrastructural technologies relies upon interpersonal and institutional trust within the communities of the Internet's technical operations personnel. Through these cases, I will demonstrate how a sociotechnical perspective can aid in the analysis and development of trustworthy computing systems by foregrounding operational trust alongside user trust and technological design.

Scholars argue that contemporary movements in the age of social media are leaderless and self-organised. However, the concept of connective leadership has been put forward to highlight the need for movements to have figures who connect entities together. This paper presents a qualitative research of grassroots human rights groups in risky context to address the question of how leadership is performed in information and communication technology-enabled activism. The paper reconceptualises connective leadership as decentred, emergent and collectively performed, and provides a broader and richer account of leaders’ roles, characteristics and challenges. These challenges contribute to the critical literature on the role of ICTs in collective action.

Cryptographic operations are generally quite costly when performed only in software. In order to improve the performance of a system, such operations can be performed via hardware accelerators. There are different techniques for hardware acceleration: Hardware/software co-design, instruction set extensions for processors, hardware-only implementations, etc. In addition to hardware acceleration of cryptographic operations, computational complexity of cryptography and cryptanalysis problems can also be decreased by dedicated hardware architectures especially on reconfigurable hardware platforms. The talk will start with an overview of hardware aspects of cryptography (and a bit of cryptanalysis). How and when do we use hardware acceleration in cryptography? What are different design techniques? Following this, two new cryptographic hardware architectures which are specifically designed to be very compact and perform efficiently on reconfigurable platforms will be presented. In the first design, AES-GCM algorithm is implemented using mostly some certain blocks (DSP and BRAM) of a Field Programmable Gate Array (FPGA); and in the second design, the new Troika hash function is implemented nearly only on BRAM blocks of an FPGA for compactness.

Feminist theorists of international relations (IR) have long argued that binaries of public/private reinforce the subsidiary status given to gendered insecurities, so that these security problems are ‘individualised’ and taken out of the public and political domain. This talk will outline the relevance of feminist critiques of security studies and argue that the emerging field of cybersecurity risks recreating these dynamics by omitting or dismissing gendered technologically-facilitated abuse such as ‘revenge porn’ and intimate partner violence (IPV). I will present a review of forty smart home security analysis papers to show the threat model of IPV is almost entirely absent in this literature. I conclude by outlining some suggestions for cybersecurity research and design, particularly my work on “abusability testing”, and reaffirming the importance of critical studies of information architecture.

Vast amounts of information of all types is collected daily about people by governments, corporations and individuals. The information is collected, for example, when users register to or use online applications, receive health related services, use their mobile phones, utilize search engines, or perform common daily activities. As a result, there is an enormous quantity of privately-owned records that describe individuals finances, interests, activities, and demographics. These records often include sensitive data and may violate the privacy of the users if published.The common approach to safeguarding user information, or data in general, is to limit access to the storage (usually a database) by using and authentication and authorization protocol. This way, only users with legitimate permissions can access the user data. However, even in these cases some of the data is required to stay hidden or accessible only to a specific subset of authorized users. Our talk focuses on possible malicious behavior by users with both partial and full access to queries over data. We look at privacy attacks that meant to gather hidden information and show methods that rely mainly on the underlying data structure, query types and behavior, and data format of the database. We will show how to identify the potential weaknesses and attack vectors for various scenarios and data types, and offer defenses against them.

Joint CS/ISG seminar.

Many voter-verifiable, coercion-resistant schemes have been proposed, but even the most carefully designed voting systems necessarily leak information via the announced result. In corner cases, this may be problematic. For example, if all the votes go to one candidate then all vote privacy evaporates. The mere possibility of candidates getting no or few votes could have implications for security in practise: if a coercer demands that a voter cast a vote for such an unpopular candidate, then the voter may feel obliged to obey, even if she is confident that the voting system satisfies the standard coercion resistance definitions. With complex ballots, there may also be a danger of "Italian" style (aka "signature") attacks: the coercer demands the voter cast a ballot with a very specific, identifying pattern of votes.

Here we propose an approach to tallying end-to-end verifiable schemes that avoids revealing all the votes but still achieves whatever confidence level in the announced result is desired. Now a coerced voter can claim that the required vote must be amongst those that remained shrouded. Our approach is based on the well-established notion of Risk-Limiting Audits (RLA), but here applied to the tally rather than to the audit. We show that this approach counters coercion threats arising in extreme tallies and ``Italian'' attacks.

The approach can be applied to most end-to-end verifiable schemes, but for the purposes of illustration I will outline the Selene scheme, that provides a particularly transparent form of voter-verification. This also allows me to describe an extension of the idea to Risk-Limiting Verification (RLV), where not all vote trackers are revealed, thereby enhancing the coercion mitigation properties of Selene.