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13 May 2024
Boris Chan Yip Hon, Bilel Zaghdoudi, Maria Potop-Butucaru, Sébastien Tixeuil, Serge Fdida
We propose Challenger a peer-to-peer blockchain-based middleware architecture for narrative games, and discuss its resilience to cheating attacks. Our architecture orchestrates nine services in a fully decentralized manner where nodes are not aware of the entire composition of the system nor its size. All these components are orchestrated together to obtain (strong) resilience to cheaters.
The main contribution of the paper is to provide, for the first time, an architecture for narrative games agnostic of a particular blockchain that brings together several distinct research areas, namely distributed ledgers, peer-to-peer networks, multi-player-online games and resilience to attacks.
Nilanjan Datta, Shreya Dey, Avijit Dutta, Devdutto Kanungo
In FSE'16, Luykx et al. have proposed $\textsf{LightMAC}$ that provably achieves a query length independent PRF security bound. To be precise, the construction achieves security roughly in the order of $O(q^2/2^n)$, when instantiated with two independently keyed $n$-bit block ciphers and $q$ is the total number of queries made by the adversary. Subsequently, in ASIACRYPT'17, Naito proposed a beyond-birthday-bound variant of the $\textsf{LightMAC}$ construction, dubbed as $\textsf{LightMAC_Plus}$, that is built on three independently keyed $n$-bit block ciphers and achieves $2n/3$-bits PRF security. Security analyses of these two constructions have been conducted in the single-user setting, where we assume that the adversary has the access to a single instance of the construction. In this paper, we investigate, for the first time, the security of the $\textsf{LightMAC}$ and the $\textsf{LightMAC_Plus}$ construction in the context of multi-user setting, where we assume that the adversary has access to more than one instances of the construction. In particular, we have shown that $\textsf{LightMAC}$ remains secure roughly up to $2^{n/2}$ construction queries and $2^k$ ideal-cipher queries in the ideal-cipher model and $\textsf{LightMAC_Plus}$ maintains security up to approximately $2^{2n/3}$ construction queries and $2^{2k/3}$ ideal-cipher queries in the ideal-cipher model, where $n$ denotes the block size and $k$ denotes the key size of the block cipher.
Alessandro Chiesa, Giacomo Fenzi
The universal composability (UC) framework is a “gold standard” for security in cryptography. UC-secure protocols achieve strong security guarantees against powerful adaptive adversaries, and retain these guarantees when used as part of larger protocols. Zero knowledge succinct non-interactive arguments of knowledge (zkSNARKs) are a popular cryptographic primitive that are often used within larger protocols deployed in dynamic environments, and so UC-security is a highly desirable, if not necessary, goal.
In this paper we prove that there exist zkSNARKs in the random oracle model (ROM) that unconditionally achieve UC-security. Here, “unconditionally” means that security holds against adversaries that make a bounded number of queries to the random oracle, but are otherwise computationally unbounded.
Prior work studying UC-security for zkSNARKs obtains transformations that rely on computational assumptions and, in many cases, lose most of the succinctness property of the zkSNARK. Moreover, these transformations make the resulting zkSNARK more expensive and complicated.
In contrast, we prove that widely used zkSNARKs in the ROM are UC-secure without modifications. We prove that the Micali construction, which is the canonical construction of a zkSNARK, is UC-secure. Moreover, we prove that the BCS construction, which many zkSNARKs deployed in practice are based on, is UC-secure. Our results confirm the intuition that these natural zkSNARKs do not need to be augmented to achieve UC-security, and give confidence that their use in larger real-world systems is secure.
12 May 2024
Wien, Österreich, 23 September - 25 September 2024
Event date: 23 September to 25 September 2024
Submission deadline: 15 May 2024
Notification: 3 July 2024
Submission deadline: 15 May 2024
Notification: 3 July 2024
changsha, China, 29 December - 31 December 2024
Event date: 29 December to 31 December 2024
Submission deadline: 15 July 2024
Notification: 15 August 2024
Submission deadline: 15 July 2024
Notification: 15 August 2024
Osaka, Japan, 13 November - 15 November 2024
Event date: 13 November to 15 November 2024
Submission deadline: 31 July 2024
Notification: 31 August 2024
Submission deadline: 31 July 2024
Notification: 31 August 2024
11 May 2024
Harish Karthikeyan, Antigoni Polychroniadou
Our work aims to minimize interaction in secure computation due to the high cost and challenges associated with communication rounds, particularly in scenarios with many clients. In this work, we revisit the problem of secure aggregation in the single-server setting where a single evaluation server can securely aggregate client-held individual inputs. Our key contribution is One-shot Private Aggregation ($\mathsf{OPA}$) where clients speak only once (or even choose not to speak) per aggregation evaluation. Since every client communicates just once per aggregation, this streamlines the management of dropouts and dynamic participation of clients, contrasting with multi-round state-of-the-art protocols for each aggregation.
We initiate the study of $\mathsf{OPA}$ in several ways. First, we formalize the model and present a security definition. Second, we construct $\mathsf{OPA}$ protocols based on class groups, DCR, and LWR assumptions. Third, we demonstrate $\mathsf{OPA}$ with two applications: private stream aggregation and privacy-preserving federated learning. Specifically, $\mathsf{OPA}$ can be used as a key building block to enable privacy-preserving federated learning and critically, where client speaks once. This is a sharp departure from prior multi-round protocols whose study was initiated by Bonawitz et al. (CCS, 2017). Moreover, unlike the YOSO (You Only Speak Once) model for general secure computation, $\mathsf{OPA}$ eliminates complex committee selection protocols to achieve adaptive security. Beyond asymptotic improvements, $\mathsf{OPA}$ is practical, outperforming state-of-the-art solutions. We leverage $\mathsf{OPA}$ to develop a streaming variant named $\mathsf{SOPA}$, serving as the building block for privacy-preserving federated learning. We utilize $\mathsf{SOPA}$ to construct logistic regression classifiers for two datasets.
A new distributed key homomorphic PRF is at the core of our construction of $\mathsf{OPA}$. This key component addresses shortcomings observed in previous works that relied on DDH and LWR in the work of Boneh et al. (CRYPTO, 2013), marking it as an independent contribution to our work. Moreover, we also present new distributed key homomorphic PRFs based on class groups or DCR or the LWR assumption.
We initiate the study of $\mathsf{OPA}$ in several ways. First, we formalize the model and present a security definition. Second, we construct $\mathsf{OPA}$ protocols based on class groups, DCR, and LWR assumptions. Third, we demonstrate $\mathsf{OPA}$ with two applications: private stream aggregation and privacy-preserving federated learning. Specifically, $\mathsf{OPA}$ can be used as a key building block to enable privacy-preserving federated learning and critically, where client speaks once. This is a sharp departure from prior multi-round protocols whose study was initiated by Bonawitz et al. (CCS, 2017). Moreover, unlike the YOSO (You Only Speak Once) model for general secure computation, $\mathsf{OPA}$ eliminates complex committee selection protocols to achieve adaptive security. Beyond asymptotic improvements, $\mathsf{OPA}$ is practical, outperforming state-of-the-art solutions. We leverage $\mathsf{OPA}$ to develop a streaming variant named $\mathsf{SOPA}$, serving as the building block for privacy-preserving federated learning. We utilize $\mathsf{SOPA}$ to construct logistic regression classifiers for two datasets.
A new distributed key homomorphic PRF is at the core of our construction of $\mathsf{OPA}$. This key component addresses shortcomings observed in previous works that relied on DDH and LWR in the work of Boneh et al. (CRYPTO, 2013), marking it as an independent contribution to our work. Moreover, we also present new distributed key homomorphic PRFs based on class groups or DCR or the LWR assumption.
Tim Beyne, Michiel Verbauwhede
A systematic method to analyze \emph{divisibility properties} is proposed.
In integral cryptanalysis, divisibility properties interpolate between bits that sum to zero (divisibility by two) and saturated bits (divisibility by $2^{n - 1}$ for $2^n$ inputs).
From a theoretical point of view, we construct a new cryptanalytic technique that is a non-Archimedean multiplicative analogue of linear cryptanalysis. It lifts integral cryptanalysis to characteristic zero in the sense that, if all quantities are reduced modulo two, then one recovers the algebraic theory of integral cryptanalysis.
The new technique leads to a theory of trails. We develop a tool based on off-the-shelf solvers that automates the analysis of these trails and use it to show that many integral distinguishers on PRESENT and SIMON are stronger than expected.
Antonio Faonio, Dario Fiore, Luigi Russo
Simulation extractability is a strong security notion of zkSNARKs that guarantees that an attacker who produces a valid proof must know the corresponding witness, even if the attacker had prior access to proofs generated by other users. Notably, simulation extractability implies that proofs are non-malleable and is of fundamental importance for applications of zkSNARKs in distributed systems. In this work, we study sufficient and necessary conditions for constructing simulation-extractable universal zkSNARKs via the popular design approach based on compiling polynomial interactive oracle proofs (PIOP). Our main result is the first security proof that popular universal zkSNARKs, such as PLONK and Marlin, as deployed in the real world, are simulation-extractable. Our result fills a gap left from previous work (Faonio et al. TCC’23, and Kohlweiss et al. TCC’23) which could only prove the simulation extractability of the “textbook” versions of these schemes and does not capture their optimized variants, with all the popular optimization tricks in place, that are eventually implemented and deployed in software libraries.
Ward Beullens
In 2017, Petzoldt, Szepieniec, and Mohamed proposed a blind signature scheme, based on multivariate cryptography. This construction has been expanded on by several other works. This short paper shows that their construction is susceptible to an efficient polynomial-time attack. The problem is that the authors implicitly assumed that for a random multivariate quadratic map $\mathcal{R}:\mathbb{F}_q^m \rightarrow \mathbb{F}_q^m$ and a collision-resistant hash function $H: \{0,1\}^* \rightarrow \mathbb{F}_q^m$, the function $\mathsf{Com}(m;\mathbf{r}) := H(m) - \mathcal{R}(\mathbf{r})$ is a binding commitment. This paper shows that this is not the case. Given any pair of messages, one can efficiently produce a commitment that opens to both of them. We hope that by pointing out that multivariate quadratic maps are not binding, similar problems can be avoided in the future.
10 May 2024
University at Albany, SUNY, Department of Electrical and Computer Engineering; Albany, New York
My research group at the Department of Electrical and Computer Engineering (ECE) at the University at Albany, SUNY, is hiring Ph.D. students on the Security of AI Hardware.
Responsibilities:
We are seeking students who are passionate about research, motivated to explore new ideas, and willing to work in a team environment. You will be expected to work diligently, communicate your results in writing, and publish research papers in top conferences/journals in the field of hardware security.
Qualifications:
A strong background in one or more of the following topics is required: linear algebra, probability theory, cryptography, or digital hardware design. Prior experience with Verilog hardware description language (HDL), electronic design automation (EDA) tools for application-specific integrated circuit (ASIC) design, or/and field programmable gate arrays (FPGAs) is preferred. The candidate is expected to have excellent verbal and written communication skills.
If you're interested, please reach out to me (spotluri@albany.edu) with your resume and transcripts.
Closing date for applications:
Contact: Dr. Seetal Potluri
More information: https://www.seetalpotluri.com/
University of Wollongong, Australia
Multiple positions for PhD students are available at the Institute of Cybersecurity and Cryptology at the University of Wollongong.
Specifically, we are seeking for a PhD student who is interested to work in the area of "secure blockchain". The topic in the area of key-evolving signatures, proof of stake and blockchain, algorithm and security proofs, and will be expected to contribute to the research in key-evolving signatures and the applications in POS blockchain. If you are interested, please send your CV to: ic2.uow.scholarship@gmail.com.
We are also seeking for a PhD student to work in the topic of "Privacy-Preserving Information Linkage". The successful candidate will spend some time at the University of Surrey, London during their candidature. If you are interested with this topic, please contact Dr Khoa Nguyen (khoa at uow dot edu dot au).
These positions will be filled on the first come first served basis.
Closing date for applications:
Contact: Prof Willy Susilo
University of Wollongong, Australia
We are looking for a postdoctoral research fellow (aka associate research fellow) to work in the topic of "secure blockchain". The successful candidate will be proficient with cryptography research, in the area of key-evolving signatures, proof of stake and blockchain, algorithm and security proofs, and will be expected to contribute to the research in key-evolving signatures and the applications in POS blockchain.
Closing date for applications:
Contact: Prof. Willy Susilo
Hoang-Dung Nguyen, Jorge Guajardo, Thang Hoang
Private Information Retrieval (PIR) permits clients to query entries from a public database hosted on untrusted servers in a privacy-preserving manner. Traditional PIR model suffers from high computation and/or bandwidth cost due to entire database processing for privacy. Recently, Online-Offline PIR (OO-PIR) has been suggested to improve the practicality of PIR, where query-independent materials are precomputed beforehand to accelerate online access. While state-of-the-art OO-PIR schemes (e.g., S&P’24, CRYPTO’23) successfully reduce the online processing overhead to sublinear, they still impose sustainable bandwidth and storage burdens on the client, especially when operating on large databases.
In this paper, we propose Pirex, a new OO-PIR scheme with eminent client performance while maintaining the sublinear server processing efficiency. Specifically, Pirex offers clients with sublinear processing, minimal inbound bandwidth, and low storage requirements. Our Pirex design is fairly simple yet efficient, where the majority of operations are naturally low-cost and streamlined (e.g., XOR, PRF, modular arithmetic).
We have fully implemented Pirex and evaluated its real-world performance using commodity hardware. Our experimental results demonstrated that Pirex outperforms existing OO-PIR schemes by at least two orders of magnitude. Concretely, with a 1 TB database, Pirex only takes 0.8s to query a 256-KB entry, compared with 30-220s by the state-of-the-art.
Mayuri Sridhar, Hanshen Xiao, Srinivas Devadas
Provable privacy typically requires involved analysis and is often associated with unacceptable accuracy loss. While many empirical verification or approximation methods, such as Membership Inference Attacks (MIA) and Differential Privacy Auditing (DPA), have been proposed, these do not offer rigorous privacy guarantees. In this paper, we apply recently-proposed Probably Approximately Correct (PAC) Privacy to give formal, mechanized, simulation-based proofs for a range of practical, black-box algorithms: K-Means, Support Vector Machines (SVM), Principal Component Analysis (PCA) and Random Forests. To provide these proofs, we present a new simulation algorithm that efficiently determines anisotropic noise perturbation required for any given level of privacy. We provide a proof of correctness for this algorithm and demonstrate that anisotropic noise has substantive benefits over isotropic noise.
Stable algorithms are easier to privatize, and we demonstrate privacy amplification resulting from introducing regularization in these algorithms; meaningful privacy guarantees are obtained with small losses in accuracy. We also propose new techniques in order to canonicalize algorithmic output and convert intractable geometric stability verification into efficient deterministic stability verification. Thorough experiments are included, and we validate our provable adversarial inference hardness against state-of-the-art empirical attacks.
Stable algorithms are easier to privatize, and we demonstrate privacy amplification resulting from introducing regularization in these algorithms; meaningful privacy guarantees are obtained with small losses in accuracy. We also propose new techniques in order to canonicalize algorithmic output and convert intractable geometric stability verification into efficient deterministic stability verification. Thorough experiments are included, and we validate our provable adversarial inference hardness against state-of-the-art empirical attacks.
Lennart Braun, Guilhem Castagnos, Ivan Damgård, Fabien Laguillaumie, Kelsey Melissaris, Claudio Orlandi, Ida Tucker
We present distributed key generation and decryption protocols for an additively homomorphic cryptosystem based on class groups, improving on a similar system proposed by Braun, Damgård, and Orlandi at CRYPTO '23. Our key generation is similarly constant round but achieves lower communication complexity than the previous work. This improvement is in part the result of relaxing the reconstruction property required of the underlying integer verifiable secret sharing scheme. This eliminates the reliance on potentially costly proofs of knowledge in unknown order groups. We present a new method to batch zero-knowledge proofs in unknown order groups which strengthens these improvements. We also present a protocol which is proven secure against adaptive adversaries in the single inconsistent player (SIP) model. Our protocols are secure in the universal composability (UC) framework and provide guaranteed output delivery. We demonstrate the relative efficiency of our techniques by presenting the running times and communication costs associated with our implementation of the statically secure protocol and provide a direct comparison with alternate state of the art constructions.
Prabhanjan Ananth, Vipul Goyal, Jiahui Liu, Qipeng Liu
Unclonable cryptography utilizes the principles of quantum mechanics to addresses cryptographic tasks that are impossible classically. We introduce a novel unclonable primitive in the context of secret sharing, called unclonable secret sharing (USS). In a USS scheme, there are $n$ shareholders, each holding a share of a classical secret represented as a quantum state. They can recover the secret once all parties (or at least $t$ parties) come together with their shares. Importantly, it should be infeasible to copy their own shares and send the copies to two non-communicating parties, enabling both of them to recover the secret.
Our work initiates a formal investigation into the realm of unclonable secret sharing, shedding light on its implications, constructions, and inherent limitations. ** Connections: We explore the connections between USS and other quantum cryptographic primitives such as unclonable encryption and position verification, showing the difficulties to achieve USS in different scenarios. **Limited Entanglement: In the case where the adversarial shareholders do not share any entanglement or limited entanglement, we demonstrate information-theoretic constructions for USS.
**Large Entanglement: If we allow the adversarial shareholders to have unbounded entanglement resources (and unbounded computation), we prove that unclonable secret sharing is impossible. On the other hand, in the quantum random oracle model where the adversary can only make a bounded polynomial number of queries, we show a construction secure even with unbounded entanglement. Furthermore, even when these adversaries possess only a polynomial amount of entanglement resources, we establish that any unclonable secret sharing scheme with a reconstruction function implementable using Cliffords and logarithmically many T-gates is also unattainable.
Our work initiates a formal investigation into the realm of unclonable secret sharing, shedding light on its implications, constructions, and inherent limitations. ** Connections: We explore the connections between USS and other quantum cryptographic primitives such as unclonable encryption and position verification, showing the difficulties to achieve USS in different scenarios. **Limited Entanglement: In the case where the adversarial shareholders do not share any entanglement or limited entanglement, we demonstrate information-theoretic constructions for USS.
**Large Entanglement: If we allow the adversarial shareholders to have unbounded entanglement resources (and unbounded computation), we prove that unclonable secret sharing is impossible. On the other hand, in the quantum random oracle model where the adversary can only make a bounded polynomial number of queries, we show a construction secure even with unbounded entanglement. Furthermore, even when these adversaries possess only a polynomial amount of entanglement resources, we establish that any unclonable secret sharing scheme with a reconstruction function implementable using Cliffords and logarithmically many T-gates is also unattainable.
Ali Mahdoum
The advent of quantum computing technology will compromise many of the current cryptographic algorithms, especially public-key cryptography, which is widely used to protect digital information. Most algorithms on which we depend are used worldwide in components of many different communications, processing, and storage systems. Once access to practical quantum computers becomes available, all public-key algorithms and associated protocols will be vulnerable to criminals, competitors, and other adversaries. It is critical to begin planning for the replacement of hardware, software, and services that use public-key algorithms now so that information is protected from future attacks.” [1].
For this purpose, we have developed a new algorithm that contributes to deal with the aforementioned problem. Instead to use a classical scheme of encoding / decoding methods (keys, prime numbers, etc.), our algorithm is rather based on a combination of functions. Because the cardinality of the set of functions is infinite, it would be impossible for a third party (e.g. a hacker) to decode the secret information transmitted by the sender (Bob) to the receiver (Alice).
Shanxiang Lyu, Ling Liu, Cong Ling
This paper presents a generalization of the Learning With Rounding (LWR) problem, initially introduced by Banerjee, Peikert, and Rosen, by applying the perspective of vector quantization. In LWR, noise is induced by rounding each coordinate to the nearest multiple of a fraction, a process inherently tied to scalar quantization. By considering a new variant termed Learning With Quantization (LWQ), we explore large-dimensional fast-decodable lattices with superior quantization properties, aiming to enhance the compression performance over conventional scalar quantization. We identify polar lattices as exemplary structures, effectively transforming LWQ into a problem akin to Learning With Errors (LWE), where the distribution of quantization noise is statistically close to discrete Gaussian. Furthermore, we develop a novel ``quancryption'' scheme for secure source coding. Notably, the scheme achieves near-optimal rate-distortion ratios for bounded rational signal sources, and can be implemented efficiently with quasi-linear time complexity. Python code of the polar-lattice quantizer is available at https://github.com/shx-lyu/PolarQuantizer.