International Association
for Cryptologic Research

This paper aims to provide a more comprehensive understanding of the optimal linear characteristics of BAKSHEESH. Initially, an explicit formula for the absolute correlation of the $R$-round optimal linear characteristic of BAKSHEESH is proposed when $R \geqslant 12$. By examining the linear characteristics of BAKSHEESH with three active S-boxes per round, we derive some properties of the three active S-boxes in each round. Furthermore, we demonstrate that there is only one 1-round iterative linear characteristic with three active S-boxes. Since the 1-round linear characteristic is unique, it must be included in any $R$-round ($R \geqslant 12$) linear characteristics of BAKSHEESH with three active S-boxes per round. Finally, we confirm that BAKSHEESH's total number of $R$-round optimal linear characteristics is $3072$ for $R \geqslant 12$. All of these characteristics are generated by employing the 1-round iterative linear characteristic.

We propose a privacy-preserving multiparty search protocol using threshold-level homomorphic encryption, which we prove correct and secure to honest but curious adversaries. Unlike existing approaches, our protocol maintains a constant circuit depth. This feature enhances its suitability for practical applications involving dynamic underlying databases.

Event date: 26 August 2025
Submission deadline: 27 January 2025
Notification: 10 March 2025

The successful candidate will contribute to the formal security specification, design and software implementation of cryptographic protocols in the Open Finance area. In Open Finance we envision multiple entities, each holding private data, that want to perform joint computation over this data to offer to customers the best possible financial products. The main goal of the project is to investigate what are the security requirements for Open Finance, and then provide a formal security of such a system. The successful candidate will in particular focus on optimizing the already developed cryptographic protocols and implement them focusing on a specific use case. The majority of the work will be related to the optimization and implementation of a cryptographic protocol for which we have already developed a high level specification. In this the successful candidate will be supported by members of the School of Informatics. The candidate will also be supported by members of the Business School to familiarize themselves with the concepts of Open Finance. The project is funded by Input-Output Global.

The post is full-time, available immediately for 12 months.

Your skills and attributes for success:

• Ph.D. (or near completion) in cryptography or related fields
• Experience in implementing cryptographic algorithms, and writing software for security-related applications
• Track record of strong publications
• Strong experience in provable security, and in the design of cryptographic protocols

The following criteria are not yes/no factors, but questions of degree. Recruitment will aim at selecting those candidates with the best possible performance in all these criteria.

• Experience in research in one or more of the following areas: secure multi-party computation, zero-knowledge proofs, blockchain, functional encryption, fully-homomorphic encryption, and distributed algorithms.
• Ability to communicate complex information clearly, orally, and in writing.

Closing date for applications:

Contact: Michele Ciampi michele.ciampi at ed.ac.uk
Raffaella Calabrese, raffaella calabrese at ed.ac.uk

More information: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/11582

Aarhus University - an international top-100 University - has made an ambitious strategic investment in recruitment to expand the Department of Computer Science. We expect to hire four candidates in 2025. Therefore, the department invites applications from candidates in computer science that are driven by excellence in research and teaching as well as external collaboration on societal challenges. The successful candidates will have the opportunity to contribute to and shape the research and teaching as well as the industrial and societal collaboration associated with the department expansion. The department has world-class research groups within "Algorithms, Data Structures and Foundations of Machine Learning", “Data-Intensive Systems", "Cryptography and Cyber Security", "Computational Complexity and Game Theory", "Logic and Semantics", "Ubiquitous Computing and Interaction", “Collaboration and Computer-Human Interaction", and "Programming Languages”. We encourage applicants to strengthen the above groups. Additionally, we wish to expand competencies within topics like Machine Learning/Artificial Intelligence, NLP/Large Language Models, Quantum Computing, Quantum Cryptography, Economics and Computation, Tangible/Physical Computing, Systems and Networks, and Software Engineering. We are looking for both tenure-track Assistant professors and Associate professors, and we generally encourage candidates within all areas of Computer Science – not restricted to the above – to apply. As department we wish to build a computer science research and study environment with equality and diversity as a core value for recruitment as well as for daily study and work life. If you have visions for or experience with activities or initiatives to support such a core value in a computer science context, we encourage you to describe them in your application. The positions are open from June 2025.

Closing date for applications:

Contact: Kaj Grønbæk, Head of Department, Professor, kgronbak@cs.au.dk

More information: https://cs.au.dk/about-us/vacancies/job/aarhus-university-is-hiring-assistant-and-associate-professors-to-contribute-to-the-future-of-the-department-of-computer-science-3

We propose a new trust metric for a network of public key certificates, e.g. as in PKI, which allows a user to buy insurance at a fair price on the possibility of failure of the certifications provided while transacting with an arbitrary party in the network. Our metric builds on a metric and model of insurance provided by Reiter and Stubblebine~\cite{RS}, while addressing various limitations and drawbacks of the latter. It conserves all the beneficial properties of the latter over other schemes, including protecting the user from unintentional or malicious dependencies in the network of certifications. Our metric is built on top of a simple and intuitive model of trust and risk based on ``utility sampling'', which maybe of interest for non-monetary applications as well.

A spectre is haunting consensus protocols—the spectre of adversary majority. The literature is inconclusive, with possibilities and impossibilities running abound. Dolev and Strong in 1983 showed an early possibility for up to 99% adversaries. Yet, we have known impossibility results for adversaries above 1/2 in synchrony, and above 1/3 in partial synchrony. What gives? It is high time that we pinpoint the culprit of this confusion: the critical role of the modeling details of clients. Are the clients sleepy or always-on? Are they silent or communicating? Can validators be sleepy too? We systematize models for consensus across four dimensions (sleepy/always-on clients, silent/communicating clients, sleepy/always-on validators, and synchrony/partial-synchrony), some of which are new, and tightly characterize the achievable safety and liveness resiliences with matching possibilities and impossibilities for each of the sixteen models. To this end, we unify folklore and earlier results, and fill gaps left in the literature with new protocols and impossibility theorems.

The meteoric rise in power and popularity of machine learning models dependent on valuable training data has reignited a basic tension between the power of running a program locally and the risk of exposing details of that program to the user. At the same time, fundamental properties of quantum states offer new solutions to data and program security that can require strikingly few quantum resources to exploit, and offer advantages outside of mere computational run time. In this work, we demonstrate such a solution with quantum one-time tokens.

A quantum one-time token is a quantum state that permits a certain program to be evaluated exactly once. One-time security guarantees, roughly, that the token cannot be used to evaluate the program more than once. We propose a scheme for building quantum one-time tokens for any randomized classical program, which include generative AI models. We prove that the scheme satisfies an interesting definition of one-time security as long as outputs of the classical algorithm have high enough min-entropy, in a black box model.

Importantly, the classical program being protected does not need to be implemented coherently on a quantum computer. In fact, the size and complexity of the quantum one-time token is independent of the program being protected, and additional quantum resources serve only to increase the security of the protocol. Due to this flexibility in adjusting the security, we believe that our proposal is parsimonious enough to serve as a promising candidate for a near-term useful demonstration of quantum computing in either the NISQ or early fault tolerant regime.

\textit{Federated Learning} (FL) is a distributed machine learning paradigm that allows multiple clients to train models collaboratively without sharing local data. Numerous works have explored security and privacy protection in FL, as well as its integration with blockchain technology. However, existing FL works still face critical issues. \romannumeral1) It is difficult to achieving \textit{poisoning robustness} and \textit{data privacy} while ensuring high \textit{model accuracy}. Malicious clients can launch \textit{poisoning attacks} that degrade the global model. Besides, aggregators can infer private data from the gradients, causing \textit{privacy leakages}. Existing privacy-preserving poisoning defense FL solutions suffer from decreased model accuracy and high computational overhead. \romannumeral2) Blockchain-assisted FL records iterative gradient updates on-chain to prevent model tampering, yet existing schemes are not compatible with practical blockchains and incur high costs for maintaining the gradients on-chain. Besides, incentives are overlooked, where unfair reward distribution hinders the sustainable development of the FL community. In this work, we propose FLock, a robust and privacy-preserving FL scheme based on practical blockchain state channels. First, we propose a lightweight secure \textit{Multi-party Computation} (MPC)-friendly robust aggregation method through quantization, median, and Hamming distance, which could resist poisoning attacks against up to $<50\%$ malicious clients. Besides, we propose communication-efficient Shamir's secret sharing-based MPC protocols to protect data privacy with high model accuracy. Second, we utilize blockchain off-chain state channels to achieve immutable model records and incentive distribution. FLock achieves cost-effective compatibility with practical cryptocurrency platforms, e.g. Ethereum, along with fair incentives, by merging the secure aggregation into a multi-party state channel. In addition, a pipelined \textit{Byzantine Fault-Tolerant} (BFT) consensus is integrated where each aggregator can reconstruct the final aggregated results. Lastly, we implement FLock and the evaluation results demonstrate that FLock enhances robustness and privacy, while maintaining efficiency and high model accuracy. Even with 25 aggregators and 100 clients, FLock can complete one secure aggregation for ResNet in $2$ minutes over a WAN. FLock successfully implements secure aggregation with such a large number of aggregators, thereby enhancing the fault tolerance of the aggregation.

The Supersingular Isogeny Diffie-Hellman (SIDH) scheme is a public key cryptosystem that was submitted to the National Institute of Standards and Technology's competition for the standardization of post-quantum cryptography protocols. The private key in SIDH consists of an isogeny whose degree is a prime power. In July 2022, Castryck and Decru discovered an attack that completely breaks the scheme by recovering Bob's secret key, using isogenies between higher dimensional abelian varieties to interpolate and reconstruct the isogenies comprising the SIDH private key. The original attack applies in theory to any prime power degree, but the implementation accompanying the original attack required one of the SIDH keys involved in a key exchange to have degree equal to a power of $2$. An implementation of the power of $3$ case was published subsequently by Decru and Kunzweiler. However, despite the passage of several years, nobody has published any implementations for prime powers other than $2$ or $3$, and for good reason --- the necessary higher dimensional isogeny computations rapidly become more complicated as the base prime increases. In this paper, we provide for the first time a fully general isogeny interpolation implementation that works for any choice of base prime, and provide timing benchmarks for various combinations of SIDH base prime pairs. We remark that the technique of isogeny interpolation now has constructive applications as well as destructive applications, and that our methods may open the door to increased flexibility in constructing isogeny-based digital signatures and cryptosystems.

For a finite field $\mathbb{F}$ of size $n$, the (patched) inverse permutation $\operatorname{INV}: \mathbb{F} \to \mathbb{F}$ computes the inverse of $x$ over $\mathbb{F}$ when $x\neq 0$ and outputs $0$ when $x=0$, and the $\operatorname{ARK}_K$ (for AddRoundKey) permutation adds a fixed constant $K$ to its input, i.e., $$\operatorname{INV}(x) = x^{n-2} \hspace{.1in} \mbox{and} \hspace{.1in} \operatorname{ARK}_K(x) = x + K \;.$$ We study the process of alternately applying the $\operatorname{INV}$ permutation followed by a random linear permutation $\operatorname{ARK}_K$, which is a random walk over the alternating (or symmetric) group that we call the inverse walk.

We show both lower and upper bounds on the number of rounds it takes for this process to approximate a random permutation over $\mathbb{F}$. We show that $r$ rounds of the inverse walk over the field of size $n$ with $$r = \Theta\left(n\log^2 n + n\log n\log \frac{1}{\epsilon}\right)$$ rounds generates a permutation that is $\epsilon$-close (in variation distance) to a uniformly random even permutation (i.e. a permutation from the alternating group $A_{n}$). This is tight, up to logarithmic factors.

Our result answers an open question from the work of Liu, Pelecanos, Tessaro and Vaikuntanathan (CRYPTO 2023) by providing a missing piece in their proof of $t$-wise independence of (a variant of) AES. It also constitutes a significant improvement on a result of Carlitz (Proc. American Mathematical Society, 1953) who showed a reachability result: namely, that every even permutation can be generated eventually by composing $\operatorname{INV}$ and $\operatorname{ARK}$. We show a tight convergence result, namely a tight quantitative bound on the number of rounds to reach a random (even) permutation.

Modern blockchain-based consensus protocols aim for efficiency (i.e., low communication and round complexity) while maintaining security against adaptive adversaries. These goals are usually achieved using a public randomness beacon to select roles for each participant. We examine to what extent this randomness is necessary. Specifically, we provide tight bounds on the amount of entropy a Byzantine Agreement protocol must consume from a beacon in order to enjoy efficiency and adaptive security. We first establish that no consensus protocol can simultaneously be efficient, be adaptively secure, and use $O(\log n)$ bits of beacon entropy. We then show this bound is tight and, in fact, a trilemma by presenting three consensus protocols that achieve any two of these three properties.

We suggest two families of multivariate public keys defined over arbitrary finite commutative ring \(K\) with unity. The first one has quadratic multivariate public rule, this family is an obfuscation of previously defined cryptosystem defined in terms of well known algebraic graphs \(D(n, K)\) with the partition sets isomorphic to \(K^n\). Another family of cryptosystems uses the combination of Eulerian transformation of \(K[x_1, x_2, \ldots, x_n]\) sending each variable \(x_i\) to a monomial term with the quadratic encryption map of the first cryptosystem. The resulting map has unbounded degree and the density \(O(n^4)\) like the cubic multivariate map. The space of plaintexts of the second cryptosystem is the variety \((K^*)^n\) and the space of ciphertexts is the affine space \(K^n\).

We explore the use of microbenchmarks, small assembly code snippets, to detect microarchitectural side-channel leakage in CPU implementations. Specifically, we investigate the effectiveness of microbenchmarks in diagnosing the predisposition to side-channel leaks in two commonly used RISC-V cores: Picorv32 and Ibex. We propose a new framework that involves diagnosing side-channel leaks, identifying leakage points, and constructing leakage profiles to understand the underlying causes. We apply our framework to several realistic case studies that test our framework for explaining side-channel leaks and showcase the subtle interaction of data via order-reducing leaks.

Discrete Gaussian sampling on lattices is a fundamental problem in lattice-based cryptography. In this paper, we revisit the Markov chain Monte Carlo (MCMC)-based Metropolis-Hastings-Klein (MHK) algorithm proposed by Wang and Ling and study its complexity under the Geometric Series Assuption (GSA) when the given basis is BKZ-reduced. We give experimental evidence that the GSA is accurate in this context, and we give a very simple approximate formula for the complexity of the sampler that is accurate over a large range of parameters and easily computable. We apply our results to the dual attack on LWE of [Pouly and Shen 2024] and significantly improve the complexity estimates of the attack. Finally, we provide some results of independent interest on the Gaussian mass of a random $q$-ary lattices.

In 2023, Koshelev proposed an efficient method for subgroup membership testing on a list of non-pairing-friendly curves via the Tate pairing. In fact, this method can also be applied to certain pairing-friendly curves, such as the BLS and BW13 families, at a cost of two small Tate pairings. In this paper, we revisit Koshelev's method to enhance its efficiency for these curve families. First, we present explicit formulas for computing the two small Tate pairings. Compared to the original formulas, the new versions offer shorter Miller iterations and reduced storage requirements. Second, we provide a high-speed software implementation on a 64-bit processor. Our results demonstrate that the new method is up to $62.0\%$ and $22.4\%$ faster than the state-of-the-art on the BW13-310 and BLS24-315 curves, respectively, while being $14.1\%$ slower on BLS12-381. When precomputation is utilized, our method achieves speed improvements of up to $34.8\%$, $110.6\%$, and $63.9\%$ on the BLS12-381, BW13-310, and BLS24-315 curves, respectively.

Bitcoin enables decentralized, pseudonymous transactions, but balancing privacy with accountability remains a challenge. This paper introduces a novel dual accountability mechanism that enforces both sender and recipient compliance in Bitcoin transactions. Senders are restricted to spending Unspent Transaction Outputs (UTXOs) that meet specific criteria, while recipients must satisfy legal and ethical requirements before receiving funds. We enhance stealth addresses by integrating compliance attributes, preserving privacy while ensuring policy adherence. Our solution introduces a new cryptographic primitive, Identity-Based Matchmaking Signatures (IB-MSS), which supports streamlined auditing. Our approach is fully compatible with existing Bitcoin infrastructure and does not require changes to the core protocol, preserving both privacy and decentralization while enabling transaction auditing and compliance.

In contemporary times, there are many situations where users need to verify that their information is correctly retained by servers. At the same time, servers need to maintain transparency logs. Many algorithms have been designed to address this problem. For example, Certificate Transparency (CT) helps track certificates issued by Certificate Authorities (CAs), while CONIKS aims to provide key transparency for end users. However, these algorithms often suffer from either high append time or imbalanced inclusion-proof cost and consistency-proof cost. To find an optimal solution, we constructed two different but similar authenticated data structures tailored to two different lookup protocols. We propose ATS (Advanced Transparency System), which uses only linear storage cost to reduce append time and balances the time costs for both servers and users. When addressing the value-lookup problem, this system allows servers to append user information in constant time and enables radical-level inclusion proof and consistency proof. For the key transparency problem, the system requires logarithmic time complexity for the append operation and offers acceptable inclusion proof and consistency proof.

Boolean functions play an important role in designing and analyzing many cryptographic systems, such as block ciphers, stream ciphers, and hash functions, due to their unique cryptographic properties such as nonlinearity, correlation immunity, and algebraic properties. The secure evaluation of Boolean functions or Secure Boolean Evaluation (SBE) is an important area of research. SBE allows parties to jointly compute Boolean functions without exposing their private inputs. SBE finds applications in privacy-preserving protocols and secure multi-party computations. In this manuscript, we present an efficient and generic two-party protocol (namely $\textsf{BooleanEval}$) for the secure evaluation of Boolean functions by utilizing a 1-out-of-2 Oblivious Transfer (OT) as a building block. $\textsf{BooleanEval}$ only employs XOR operations as the core computational step, thus making it lightweight and fast. Unlike other lightweight state-of-the-art designs of SBE, $\textsf{BooleanEval}$ avoids the use of additional cryptographic primitives, such as hash functions and commitment schemes to reduce the computational overhead.

A Timed Commitment (TC) with time parameter $t$ is hiding for time at most $t$, that is, commitments can be force-opened by any third party within time $t$. In addition to various cryptographic assumptions, the security of all known TC schemes relies on the sequentiality assumption of repeated squarings in hidden-order groups. The repeated squaring assumption is therefore a security bottleneck.

In this work, we give a black-box construction of TCs from any time-lock puzzle (TLP) by additionally relying on one-way permutations and collision-resistant hashing.

Currently, TLPs are known from (a) the specific repeated squaring assumption, (b) the general (necessary) assumption on the existence of worst-case non-parallelizing languages and indistinguishability obfuscation, and (c) any iteratively sequential function and the hardness of the circular small-secret LWE problem. The latter admits a plausibly post-quantum secure instantiation.

Hence, thanks to the generality of our transform, we get i) the first TC whose timed security is based on the the existence of non-parallelizing languages and ii) the first TC that is plausibly post-quantum secure.

We first define quasi publicly-verifiable TLPs (QPV-TLPs) and construct them from any standard TLP in a black-box manner without relying on any additional assumptions. Then, we devise a black-box commit-and-prove system to transform any QPV-TLPs into a TC.