International Association
for Cryptologic Research

This short note explains how the Tate pairing can be used to efficiently sample torsion points with precise requirements, and other applications. These applications are most clearly explained on Montgomery curves, using the Tate pairing of degree 2, but hold more generally for any degree or abelian variety, or even generalized Tate pairings. This note is explanatory in nature; it does not contain new results, but aims to provide a clear and concise explanation of results in the literature that are somewhat hidden, yet are extremely useful in practical isogeny-based cryptography.

We show that the threshold signature scheme [J. Ind. Inf. Integr. 39: 100593 (2024)] is insecure against forgery attack. An adversary can find an efficient signing algorithm functionally equivalent to the valid signing algorithm, so as to convert the legitimate signature $(sig, s, r_x)$ of message $m$ into a valid signature $(sig, s, r_x')$ of any message $m'$.

In this paper, we introduce $\mathsf{HammR}$, a generic Zero-Knowledge Proof (ZKP) protocol demonstrating knowledge of a secret vector that has a fixed Hamming weight with entries taken from a shifted multiplicative group. As special cases, we are able to directly apply this protocol to restricted vectors and to rank-1 vectors, which are vectors with entries that lie in a dimension one subspace of $\mathbb{F}_q$. We show that these proofs can be batched with low computational overhead, and further prove that this general framework is complete, sound, and zero-knowledge, thus truly a genuine ZKP. Finally, we present applications of $\mathsf{HammR}$ to various Syndrome Decoding Problems, including the Regular and Restricted SDPs, as well as other implementations such as lookup instances, proof of proximity, and electronic voting protocols.

The most fundamental performance metrics of secure multi-party computation (MPC) protocols are related to the number of messages the parties exchange (i.e., round complexity), the size of these messages (i.e., communication complexity), and the overall computational resources required to execute the protocol (i.e., computational complexity). Another quality metric of MPC protocols is related to the black-box or non-black-box use of the underlying cryptographic primitives. Indeed, the design of black-box MPC protocols, other than being of theoretical interest, usually can lead to protocols that have better computational complexity. In this work, we aim to optimize the round and communication complexity of black-box secure multi-party computation in the plain model, by designing a constant-round two-party computation protocol in the malicious setting, whose communication complexity is only polylogarithmic in the size of the function being evaluated. We successfully design such a protocol, having only black-box access to fully homomorphic encryption, trapdoor permutations, and hash functions. To the best of our knowledge, our protocol is the first to make black-box use of standard cryptographic primitives while achieving almost asymptotically optimal communication and round complexity.

The rapid growth of cloud computing and data-driven applications has amplified privacy concerns, driven by the increasing demand to process sensitive data securely. Homomorphic encryption (HE) has become a vital solution for addressing these concerns by enabling computations on encrypted data without revealing its contents. This paper provides a comprehensive evaluation of two leading HE libraries, SEAL and OpenFHE, examining their performance, usability, and support for prominent HE schemes such as BGV and CKKS. Our analysis highlights computational efficiency, memory usage, and scalability across Linux and Windows platforms, emphasizing their applicability in real-world scenarios. Results reveal that Linux outperforms Windows in computation efficiency, with OpenFHE emerging as the optimal choice across diverse cryptographic settings. This paper provides valuable insights for researchers and practitioners to advance privacy-preserving applications using FHE.

The Sum of Even-Mansour (SoEM) construction, proposed by Chen et al. at Crypto 2019, has become the basis for designing some symmetric schemes, such as the nonce-based MAC scheme $\text{nEHtM}_{p}$ and the nonce-based encryption scheme $\text{CENCPP}^{\ast}$. In this paper, we make the first attempt to study the quantum security of SoEM under the Q1 model where the targeted encryption oracle can only respond to classical queries rather than quantum ones. Firstly, we propose a quantum key recovery attack on SoEM21 with a time complexity of $\tilde{O}(2^{n/3})$ along with $O(2^{n/3})$ online classical queries. Compared with the current best classical result which requires $O(2^{2n/3})$, our method offers a quadratic time speedup while maintaining the same number of queries. The time complexity of our attack is less than that observed for quantum exhaustive search by a factor of $2^{n/6}$. We further propose classical and quantum key recovery attacks on the generalized SoEMs1 construction (consisting of $s\geq 2$ independent public permutations), revealing that the application of quantum algorithms can provide a quadratic acceleration over the pure classical methods. Our results also imply that the quantum security of SoEM21 cannot be strengthened merely by increasing the number of permutations.

This tutorial provides a practical introduction to Deep Learning-based Side-Channel Analysis (DLSCA), a powerful approach for evaluating the security of cryptographic implementations. Leveraging publicly available datasets and a Google Colab service, we guide readers through the fundamental steps of DLSCA, offering clear explanations and code snippets. We focus on the core DLSCA framework, providing references for more advanced techniques, and address the growing interest in this field driven by emerging standardization efforts like AIS 46. This tutorial is designed to be accessible to researchers, students, and practitioners seeking to learn practical DLSCA techniques and improve the security of cryptographic systems.

Deniable authentication allows Alice to authenticate a message to Bob, while retaining deniability towards third parties. In particular, not even Bob can convince a third party that Alice authenticated that message. Clearly, in this setting Bob should not be considered trustworthy. Furthermore, deniable authentication is necessary for deniable key exchange, as explicitly desired by Signal and off-the-record (OTR) messaging.

In this work we focus on (publicly verifiable) designated verifier signatures (DVS), which are a widely used primitive to achieve deniable authentication. We propose a definition of deniability against malicious verifiers for DVS. We give a construction that achieves this notion in the random oracle (RO) model. Moreover, we show that our notion is not achievable in the standard model with a concrete attack; thereby giving a non-contrived example of the RO heuristic failing.

All previous protocols that claim to achieve deniable authentication against malicious verifiers (like Signal's initial handshake protocols X3DH and PQXDH) rely on the Extended Knowledge of Diffie–Hellman (EKDH) assumption. We show that this assumption is broken and that these protocols do not achieve deniability against malicious verifiers.

Chat groups in secure messaging applications such as Signal, Telegram, and Whatsapp are nowadays used for rapid and widespread dissemination of information to large groups of people. This is common even in sensitive contexts, associated with the organisation of protests, activist groups, and internal company dialogues. Manual administration of who has access to such groups quickly becomes infeasible, in the presence of hundreds or thousands of members.

We construct a practical, privacy-preserving reputation system, that automates the approval of new group members based on their reputation amongst the existing membership. We demonstrate security against malicious adversaries in a single-server model, with no further trust assumptions required. Furthermore, our protocol supports arbitrary reputation calculations while almost all group members are offline (as is likely). In addition, we demonstrate the practicality of the approach via an open-source implementation. For groups of size 50 (resp. 200), an admission process on a user that received 40 (resp. 80) scores requires 1312.2 KiB (resp. 5239.4 KiB) of communication, and 3.3s (resp. 16.3s) of overall computation on a single core. While our protocol design matches existing secure messaging applications, we believe it can have value in distributed reputation computation beyond this problem setting.

Efficient implementation of a pairing-based cryptosystem relies on high-performance arithmetic in finite fields $\mathbb{F}_{p}$ and their extensions $\mathbb{F}_{p^k}$, where $k$ is the embedding degree. A small embedding degree is crucial because part of the arithmetic for pairing computation occurs in $\mathbb{F}_{{p}^k}$ and includes operations such as squaring, multiplication, and Frobenius operations. In this paper, we present a fast and efficient method for computing the Frobenius endomorphism and its complexity. Additionally, we introduce an improvement in the efficiency of cyclotomic cubing operations for several pairing-friendly elliptic curves, which are essential for the calculation of Tate pairing and its derivatives.

We show that using a polynomial representation of prime field elements (PMNS) can be relevant for real-world cryptographic applications even in terms of performance. More specifically, we consider elliptic curves for cryptography when pseudo-Mersenne primes cannot be used to define the base field (e.g. Brainpool standardized curves, JubJub curves in the zkSNARK context, pairing-friendly curves). All these primitives make massive use of the Montgomery reduction algorithm and well-known libraries such as GMP or OpenSSL for base field arithmetic. We show how this arithmetic can be advantageously replaced by a polynomial representation of the number that can be easily parallelized, avoids carry propagation, and allows randomization process. We provide good PMNS basis in the cryptographic context mentioned above, together with a C-implementation that is competitive or faster than GMP and OpenSSL for performing basic operations in the base fields considered. We also integrate this arithmetic into the Rust reference implementation of elliptic curve scalar multiplication for Zero-knowledge applications, and achieve better practical performances for such protocols. This shows that PMNS is an attractive alternative for the base field arithmetic layer in cryptographic primitives using elliptic curves or pairings.

This study explores the algebraic cryptanalysis of small-scale variants of the E0 stream cipher, a legacy cipher used in the Bluetooth protocol. By systematically reducing the size of the linear feedback shift registers (LFSRs) while preserving the cipher’s core structure, we investigate the relationship between the number of unknowns and the number of consecutive keystream bits required to recover the internal states of the LFSRs. Our work demonstrates an approximately linear relationship between the number of consecutive keystream bits and the size of small-scale E0 variants, as indicated by our experimental results. To this end, we utilize two approaches: the computation of Gröbner bases using Magma’s F4 algorithm and the application of CryptoMiniSat’s SAT solver. Our experimental results show that increasing the number of keystream bits significantly improves computational efficiency, with the F4 algorithm achieving a speedup of up to 733× when additional equations are supplied. Furthermore, we verify the non-existence of equations of degree four or lower for up to seven consecutive keystream bits, and the non-existence of equations of degree three or lower for up to eight consecutive keystream bits, extending prior results on the algebraic properties of E0.

In the interconnected global financial system, anti-money laundering (AML) and combating the financing of terrorism (CFT) regulations are indispensable for safeguarding financial integrity. However, while illicit transactions constitute only a small fraction of overall financial activities, traditional AML/CFT frameworks impose uniform compliance burdens on all users, resulting in inefficiencies, transaction delays, and privacy concerns. These issues stem from the institution-centric model, where financial entities independently conduct compliance checks, resulting in repeated exposure of personally identifiable information (PII) and operational bottlenecks. To address these challenges, we introduce \textsf{zkAML}, a cryptographic framework that offers a novel approach to AML/CFT compliance. By leveraging zero-knowledge Succinct Non-Interactive Argument of Knowledge (zk-SNARK) proofs, \textsf{zkAML}~enables users to cryptographically demonstrate their regulatory compliance without revealing sensitive personal information. This approach eliminates redundant identity checks, streamlines compliance procedures, and enhances transaction efficiency while preserving user privacy. We implement and evaluate \textsf{zkAML}~on a blockchain network to demonstrate its practicality. Our experimental results show that \textsf{zkAML}~achieves 55 transactions per second (TPS) on a public network and 324 TPS on a private network. The zk-SNARK proof generation times are $226.59$ms for senders and $215.76$ms for receivers, with a constant verification time of $1.47$ms per transaction. These findings highlight \textsf{zkAML}'s potential as a privacy-preserving and regulation-compliant solution for modern financial systems.

Poly1305 is a widely-deployed polynomial hash function. The rationale behind its design was laid out in a series of papers by Bernstein, the last of which dates back to 2005. As computer architectures evolved, some of its design features became less relevant, but implementers found new ways of exploiting these features to boost its performance. However, would we still converge to this same design if we started afresh with today's computer architectures and applications? To answer this question, we gather and systematize a body of knowledge concerning polynomial hash design and implementation that is spread across research papers, cryptographic libraries, and developers' blogs. We develop a framework to automate the validation and benchmarking of the ideas that we collect. This approach leads us to five new candidate designs for polynomial hash functions. Using our framework, we generate and evaluate different implementations and optimization strategies for each candidate. We obtain substantial improvements over Poly1305 in terms of security and performance. Besides laying out the rationale behind our new designs, our paper serves as a reference for efficiently implementing polynomial hash functions, including Poly1305.

This paper examines the deployment of Multi-Party Computation (MPC) in corporate data processing environments, focusing on its legal and technical implications under the European Union’s General Data Protection Regulation (GDPR). By combining expertise in cryptography and legal analysis, we address critical questions necessary for assessing the suitability of MPC for real-world applications. Our legal evaluation explores the conditions under which MPC qualifies as an anonymizing approach under GDPR, emphasizing the architectural requirements, such as the distribution of control among compute parties, to minimize re-identification risks effectively. The assertions put forth in the legal opinion are validated by two distinct assessments conducted independently.

We systematically answer key regulatory questions, demonstrating that a structured legal assessment is indispensable for organizations aiming to adopt MPC while ensuring compliance with privacy laws. In addition, we complement this analysis with a practical implementation of privacy-preserving analytics using Carbyne Stack, a cloud-native open-source platform for scalable MPC applications, which integrates the MP-SPDZ framework as its backend. We benchmark SQL queries under various security models to evaluate scalability and efficiency.

The key collision attack was proposed as an open problem in key-committing security in Authenticated Encryption (AE) schemes like $\texttt{AES-GCM}$ and $\texttt{ChaCha20Poly1305}$. In ASIACRYPT 2024, Taiyama et al. introduce a novel type of key collision—target-plaintext key collision ($\texttt{TPKC}$) for $\texttt{AES}$. Depending on whether the plaintext is fixed, $\texttt{TPKC}$ can be divided into $\texttt{fixed-TPKC}$ and $\texttt{free-TPKC}$, which can be directly converted into collision attacks and semi-free-start collision attacks on the Davies-Meyer ($\texttt{DM}$) hashing mode. In this paper, we propose a new rebound attack framework leveraging a time-memory tradeoff strategy, enabling practical key collision attacks with optimized complexity. We also present an improved automatic method for finding \textit{rebound-friendly} differential characteristics by controlling the probabilities in the inbound and outbound phases, allowing the identified characteristics to be directly used in $\textit{rebound-based}$ key collision attacks. Through our analysis, we demonstrate that the 2-round $\texttt{AES-128}$ $\texttt{fixed-TPKC}$ attack proposed by Taiyama et al. is a $\texttt{free-TPKC}$ attack in fact, while $\texttt{fixed-TPKC}$ attacks are considerably more challenging than $\texttt{free-TPKC}$ attacks. By integrating our improved automatic method with a new rebound attack framework, we successfully identify a new differential characteristic for the 2-round $\texttt{AES-128}$ $\texttt{fixed-TPKC}$ attack and develope the first practical $\texttt{fixed-TPKC}$ attack against 2-round $\texttt{AES-128}$. Additionally, we present practical $\texttt{fixed-TPKC}$ attacks against 5-round $\texttt{AES-192}$ and 3-round $\texttt{Kiasu-BC}$, along with a practical $\texttt{free-TPKC}$ attack against 6-round $\texttt{Kiasu-BC}$. Furthermore, we reduce time complexities for $\texttt{free-TPKC}$ and $\texttt{fixed-TPKC}$ attacks on other $\texttt{AES}$ variants.

Shuffles are used in electronic voting in much the same way physical ballot boxes are used in paper systems: (encrypted) ballots are input into the shuffle and (encrypted) ballots are output in a random order, thereby breaking the link between voter identities and ballots. To guarantee that no ballots are added, omitted or altered, zero-knowledge proofs, called proofs of shuffle, are used to provide publicly verifiable transcripts that prove that the outputs are a re-encrypted permutation of the inputs. The most prominent proofs of shuffle, in practice, are those due to Terelius and Wikström (TW), and Bayer and Groth (BG). TW is simpler whereas BG is more efficient, both in terms of bandwidth and computation. Security for the simpler (TW) proof of shuffle has already been machine-checked but several prominent vendors insist on using the more complicated BG proof of shuffle. Here, we machine-check the security of the Bayer-Groth proof of shuffle via the Coq proof-assistant. We then extract the verifier (software) required to check the transcripts produced by Bayer-Groth implementations and use it to check transcripts from the Swiss Post evoting system under development for national elections in Switzerland.

Generative models have achieved remarkable success in a wide range of applications. Training such models using proprietary data from multiple parties has been studied in the realm of federated learning. Yet recent studies showed that reconstruction of authentic training data can be achieved in such settings. On the other hand, multiparty computation (MPC) guarantees standard data privacy, yet scales poorly for training generative models. In this paper, we focus on improving reconstruction hardness during Generative Adversarial Network (GAN) training while keeping the training cost tractable. To this end, we explore two training protocols that use a public generator and an MPC discriminator: Protocol 1 (P1) uses a fully private discriminator, while Protocol 2 (P2) privatizes the first three discriminator layers. We prove reconstruction hardness for P1 and P2 by showing that (1) a public generator does not allow recovery of authentic training data, as long as the first two layers of the discriminator are private; and through an existing approximation hardness result on ReLU networks, (2) a discriminator with at least three private layers does not allow authentic data reconstruction with algorithms polynomial in network depth and size. We show empirically that compared with fully MPC training, P1 reduces the training time by $2\times$ and P2 further by $4-16\times$.

We revisit the privacy and security analyses of FIDO2, a widely deployed standard for passwordless authentication on the Web. We discuss previous works and conclude that each of them has at least one of the following limitations: (i) impractical trusted setup assumptions, (ii) security models that are inadequate in light of state of the art of practical attacks, (iii) not analyzing FIDO2 as a whole, especially for its privacy guarantees. Our work addresses these gaps and proposes revised security models for privacy and authentication. Equipped with our new models, we analyze FIDO2 modularly and focus on its component protocols, WebAuthn and CTAP2, clarifying their exact security guarantees. In particular, our results, for the first time, establish privacy guarantees for FIDO2 as a whole. Furthermore, we suggest minor modifications that can help FIDO2 provably meet stronger privacy and authentication definitions and withstand known and novel attacks.

In this work we revisit the post-quantum security of KEM-based password-authenticated key exchange (PAKE), specifically that of (O)CAKE. So far, these schemes evaded a security proof considering quantum adversaries. We give a detailed analysis of why this is the case, determining the missing proof techniques. To this end, we first provide a proof of security in the post-quantum setting, up to a single gap. This proof already turns out to be technically involved, requiring advanced techniques to reason in the QROM, including the compressed oracle and the extractable QROM. To pave the way towards closing the gap, we then further identify an efficient simulator for the ideal cipher. This provides certain programming abilities as a necessary and sufficient condition to close the gap in the proof: we demonstrate that we can close the gap using the simulator, and give a meta-reduction based on KEM-anonymity that shows the impossibility of a non-programming reduction that covers a class of KEMs that includes Kyber / ML-KEM.