International Association
for Cryptologic Research

We evaluate the implementation aspects of Rijndael-256 using the ratified RISC-V Vector Cryptography extension Zvkn. A positive finding is that Rijndael-256 can be implemented in constant time with the existing RISC-V ISA as the critical AES and fixed crossbar permutation instructions are in the DIEL (data-independent execution latency) set. Furthermore, simple tricks can be used to expand the functionality of key expansion instructions to cover the additional round constants required. However, due to the required additional byte shuffle in each round, Rijndael-256 will be significantly slower than AES-256 in terms of throughput. Without additional ISA modifications, the instruction count will be increased by the required switching of the EEW (``effective element width'') parameter in each round between 8 bits (byte shuffle) and 32 bits (AES round instructions). Instruction counts for 1-kilobyte encryption and decryption with Rijndael-256 are factor $2.66\times$ higher than with AES-256. The precise amount of throughput slowdown depends on the microarchitectural details of a particular RISC-V ISA hardware instantiation, but it may be substantial with some high-performance vector AES architectures due to the breakdown of AES pipelining and the relative slowness of crossbar permutation instructions.

Quantum copy-protection (Aaronson, CCC'09) is the problem of encoding a functionality/key into a quantum state to achieve an anti-piracy security notion that guarantees that the key cannot be split into two keys that both still work. Most works so far has focused on constructing copy-protection for specific functionalities. The only exceptions are the work of Aaronson, Liu, Liu, Zhandry, Zhang (CRYPTO'21) and Ananth and Behera (CRYPTO'24). The former constructs copy-protection for all functionalities in the classical oracle model and the latter constructs copy-protection for all circuits that can be punctured at a uniformly random point with negligible security, assuming a new unproven conjecture about simultaneous extraction from entangled quantum adversaries, on top of assuming subexponentially-secure indistinguishability obfuscation (iO) and hardness of Learning with Errors (LWE).

In this work, we show that the construction of Aaronson et al (CRYPTO'21), when the oracles are instantiated with iO, satisfies copy-protection security in the plain model for all cryptographically puncturable functionalities (instead of only puncturable circuits) with arbitrary success threshold (e.g. we get CPA-style security rather than unpredictability for encryption schemes), without any unproven conjectures, assuming only subexponentially secure iO and one-way functions (we do not assume LWE). Thus, our work resolves the five-year-old open question of Aaronson et al, and further, our work encompasses/supersedes and significantly improves upon all existing plain-model copy-protection results.

Since puncturability has a long history of being studied in cryptography, our result immediately allows us to obtain copy-protection schemes for a large set of advanced functionalities for which no previous copy-protection scheme existed. Further, even for any functionality F that has not already been considered, through our result, constructing copy-protection for F essentially becomes a classical cryptographer's problem.

Going further, we show that our scheme also satisfies secure leasing (Ananth and La Placa, EUROCRYPT'21), unbounded/LOCC leakage-resilience and intrusion-detection security (Cakan, Goyal, Liu-Zhang, Ribeiro, TCC'24), giving a unified solution to the problem of quantum protection.

Private constrained PRFs are constrained PRFs where the constrained key hides information about the predicate circuit. Although there are many constructions and applications of PCPRF, its relationship to basic cryptographic primitives, such as one-way functions and public-key encryptions, has been unclear. For example, we don't know whether one-way functions imply PCPRFs for general predicates, nor do we know whether 1-key secure PCPRF for all polynomial-sized predicates imply public-key primitives such as public-key encryption and secret-key agreement. In this work, we prove the black-box separation between a 1-key secure PCPRF for any predicate and a secret-key agreement, which is the first black-box separation result about PCPRF. Specifically, we prove that there exists an oracle relative to which 1-key secure PCPRFs exist while secret-key agreement does not. Our proof is based on the simulation-based technique proposed by Impagliazzo and Rudich (STOC 89). The main technical challenge in generalizing the simulation-based technique to PCPRF is the issue of \textit{unfaithfulness} of Eve's simulation to the real world because our oracle is more complicated than a random oracle. We introduce a new technique which we call the ``weighting" technique and show how to leverage it to circumvent the issue of unfaithfulness in the proof framework of Impagliazzo and Rudich.

Assume that the global density of multivariate map over the commutative ring is the total number of its coefficients. In the case of finite commutative ring K with the multiplicative group K* containing more than 2 elements we suggest multivariate public keys in n variables with the public rule of global density O(n) and degree O(1). Another public keys use public rule of global density O(n) and degree O(n) together with the space of plaintexts (K*)^n and the space of ciphertext K^n . We consider examples of protocols of Noncommutative Cryptography implemented on the platform of endomorphisms of which allow the con-version of mentioned above multivariate public keys into protocol based cryptosystems of El Gamal type. The cryptosystems and protocols are designed in terms of analogue of geometries of Chevalley groups over commutative rings and their temporal versions.

This paper introduces a protocol for verifiable encryption of values committed using Pedersen commitments. It enables a recipient to decrypt the hidden amount while proving its consistency with the original commitment, without revealing the value publicly. The construction combines symmetric encryption with zero-knowledge proofs and is made non-interactive via the Fiat-Shamir heuristic. The protocol is particularly useful in blockchain settings where confidential but verifiable value transfers are required.

Event date: 1 November to 7 November 2025

Context Our team develops pre-silicon analysis tools to: 1) identify exploitable vulnerabilities at the software level based on these interactions between a software and a microarchitecture, or 2) formally prove the security, for a given attacker model, of a system embedding hardware/software countermeasures against fault injections. These tools implement a methodology that has shown to be successful to find microarchitectural vulnerabilities and/or prove the robustness, for a given fault model, of various RISC-V based processors [S. Tollec et al. FMCAD 2023]. For instance, we have formally proven the security of OpenTitan's processor to single bit-flip injections [S. Tollec et al. TCHES 2024].

Scientific Challenge In this thesis, we aim to formalize HW/SW contracts dedicated to the security analysis of embedded systems in the context of fault injection attacks.

Goals and Expected Contributions The long-term goal is to create efficient techniques and tools that contribute to the design and assessment of secured systems, reducing the time-to-market during the design phase of secure systems. We foresee the investigation of several research questions:

The formalization of contracts, potentially as an extension of our hardware partitioning approach;

The security verification of hardware processor implementations;

The automatic synthesis of contracts;

The application of such contracts for the security verification of software implementations.

Requirements Masters’s Degree in Electronics or Computer Science. Excellent interpersonal and communication skills, and a solid background in any of the following fields is expected: computer architecture, programming languages, formal methods, cyber-security. Knowledge or French (spoken or written) is not required but may be helpful on a day-to-day basis.

Application Detailed version of this research position upon demand. Please send the following documents: CV, cover letter (in French or English), transcript of records

Closing date for applications:

Contact: Mathieu Jan (mathieu.jan - cea.fr) and Damien Couroussé (damien.courousse - cea.fr). Reviewing of applications will continue until the position is filled.

Event date: 26 May to 28 May 2026

Event date: 12 September 2025

Key Blinding Signature Schemes allow to derive so-called blinded keys from public keys, which can be used to verify signatures created with the secret key. At the same time, neither the blinded keys nor their signatures disclose from which public key they were derived, effectively implementing pseudonyms for one’s identity.

In search of conservative schemes, we deviate from the homomorphism- based re-randomization approach in favor of a novel proof of knowledge- based approach. To authenticate a message, a signer proves that they know an original keypair and a valid way to commit to the corresponding verification key to derive a given blinded key. We provide a framework for such constructions and indicate how MPC-friendly block ciphers and one-way functions may be used for efficient instantiations. While the general framework’s security arguments are stated in the random oracle model, we show a natural instantiation approach whose security can be based on collision-resistance and pseudorandomness instead. The result is the first standard model construction of key blinding.

Using our framework, we identify a shortcoming in the usual definition of unlinkability for key blinding signature schemes, which we rectify by considering an additional notion called targeted unlinkability.

In digital advertising, accurate measurement is essential for optimiz- ing ad performance, requiring collaboration between advertisers and publishers to compute aggregate statistics—such as total conver- sions—while preserving user privacy. Traditional secure two-party computation methods allow joint computation on single-identifier data without revealing raw inputs, but they fall short when mul- tidimensional matching is needed and leak the intersection size, exposing sensitive information to privacy attacks. This paper tackles the challenging and practical problem of multi- identifier private user profile matching for privacy-preserving ad measurement, a cornerstone of modern advertising analytics. We introduce a comprehensive cryptographic framework leveraging re- versed Oblivious Pseudorandom Functions (OPRF) and novel blind key rotation techniques to support secure matching across multiple identifiers. Our design prevents cross-identifier linkages and in- cludes a differentially private mechanism to obfuscate intersection sizes, mitigating risks such as membership inference attacks. We present a concrete construction of our protocol that achieves both strong privacy guarantees and high efficiency. It scales to large datasets, offering a practical and scalable solution for privacy- centric applications like secure ad conversion tracking. By combin- ing rigorous cryptographic principles with differential privacy, our work addresses a critical need in the advertising industry, setting a new standard for privacy-preserving ad measurement frameworks.

We propose a public-key cryptosystem based on Jacobian-preserving polynomial compositions, utilizing algebraically invertible polynomial maps with hard-to-invert composition. The construction utilizes polynomial maps over $\mathbb{Z}_p$, where $p$ is a prime number, with Jacobian determinant equal to 1 to ensure invertibility. The public key function $H : \mathbb{Z}_p^n \to \mathbb{Z}_p^n$ is defined as the composition of invertible polynomial maps $f_1, f_2, \dots, f_k$, each with Jacobian determinant 1, while the private key consists of the individual components used in the composition. Although inverting the composition is possible, inverting without the knowledge of the factors is computationally infeasible. This system incorporates both triangular and affine polynomial maps. We discuss the construction, provide formal correctness proofs, analyze hardness assumptions, and present a Python-based prototype with benchmark results.

Side-channel analysis (SCA) is a persistent threat to security-critical systems, enabling attackers to exploit information leakage. To mitigate its harmful impacts, masking serves as a provably secure countermeasure that performs computing on random shares of secret values. As masking complexity, required effort, and cost increase dramatically with design complexity, recent techniques rely on designing and implementing smaller building blocks, so-called “gadgets.” Existing work on optimizing gadgets has primarily focused on latency, area, and power as their objectives. To the best of our knowledge, the most up-to-date ASIC-specific masking gadget optimization frameworks require significant manual effort. This paper is inspired by previous work introducing open-source academic tools to leverage aspects of artificial intelligence (AI) in electronic design automation (EDA) to attempt to optimize and enhance existing gadgets and overall designs. We concentrate on evolutionary algorithms (EA), optimization techniques inspired by biological evolution and natural selection, to find optimal or near-optimal solutions. In this regard, our goal is to improve gadgets in terms of power and area metrics. The primary objective is to demonstrate the effectiveness of our methods by integrating compatible gates from a technology library to generate an optimized and functional design without compromising security. Our results show a significant reduction in power consumption and promising area improvements, with values reduced by 15% in some cases, compared to the naïve synthesis of masked designs. We evaluate our results using industry-standard synthesis and pre-silicon side-channel verification tools.

erforming privacy-preserving queries, particularly anonymous authentication, against large-scale datasets presents critical tradeoffs between security, latency, scalability. Existing cryptographic solutions often impose linear computation or communication overheads. This paper introduces a novel, efficient protocol for secure anonymous authentication, uniquely combining matrix partitioning via hash prefixes with Oblivious Pseudorandom Functions in a three-server semi-honest model. Crucially, compared to our previous work published at TrustCom 2024, this enhanced protocol eliminates the dependency on a designated fully trusted server, achieving security when any single server is corrupted. Furthermore, our protocol demonstrates significant performance improvements over current state-of-the-art methods. It achieves sub-linear online communication complexity. Evaluations show that for datasets of size ? ≈ 106 , our protocol reduces online communication by at least 30% compared to other sub-linear schemes, while maintaining competitive online computation times. Security is proven via simulation, and comprehensive experiments confirm practicality for datasets up to ? = 10^8

Security weaknesses in the symmetric-key components of a cipher can compromise its overall security assurances. With the rapid progress in quantum computing in recent years, there is a growing focus on assessing the resilience of symmetric-key cryptography against possible quantum attacks (e.g., Grover's algorithm).

This paper is dedicated to examining the quantum attack resistance of CHAM, a family of lightweight block ciphers developed by a Korean research group. We provide an optimized quantum circuit implementation of CHAM and evaluate its complexity metrics, such as the number of qubits, gate count, and circuit depth, within the context of Grover's search algorithm.

For Grover's key search, minimizing the quantum circuit depth is the key optimization goal, particularly when parallel search capabilities are taken into account. Our approach enhances parallelism for a low-depth quantum circuit of the CHAM block cipher, significantly reducing the full circuit depth compared to previous works. For example, in the case of CHAM-128/128, our implementation achieves a full depth of 14,772, compared to 37,768 depth in the best known prior work. This highlights the substantial depth reduction enabled by our parallelism-oriented design, which facilitates more practical quantum attacks.

In this note we present Ligerito, a small and practically fast polynomial commitment and inner product scheme. For the case of univariate and multilinear polynomial evaluations, the scheme has a proof size of $\sim \log(N)^2/\log\log(N)$ up to constants and for a large enough field, where $N$ is the size of the input. Ligerito is also fast on consumer hardware: when run on an M1 MacBook Pro for a polynomial with $2^{24}$ coefficients over a 32-bit binary field, our Julia prover implementation has a proving time of 1.3 seconds and a proof size of 255 KiB. Ligerito is also relatively flexible: any linear code for which the rows of the generator matrix can be efficiently evaluated can be used. Such codes include Reed–Solomon codes, Reed–Muller codes, among others. This, in turn, allows for a high degree of flexibility on the choice of field and can likely give further efficiency gains in specific applications.

We introduce a trapdoorless tracker construction for electronic voting that fundamentally reimagines verifiability through information flow control. Unlike existing E2E verifiable systems where receipt-freeness compromises individual verifiability, our approach achieves both simultaneously by requiring only temporary isolation of the voting calculator between ballot casting and verification—when voters enter unique challenges to compute trackers for locating their votes on the public tally board. Our construction leverages perfectly hiding Pedersen commitments and a unique tracker challenge mechanism to simultaneously achieve unconditional individual verifiability, practical everlasting privacy, and receipt-freeness while relying only on standard cryptographic assumptions. When verification failures occur, our system provides transparent accountability by precisely identifying whether the voting calculator or voting device is responsible. The system maintains security even with partial compliance with isolation procedures and offers robust protection against various adversaries while requiring minimal trust assumptions.

Indistinguishability obfuscation (iO) has emerged as a powerful cryptographic primitive with many implications. While classical iO, combined with the infinitely-often worst-case hardness of $\mathsf{NP}$, is known to imply one-way functions (OWFs) and a range of advanced cryptographic primitives, the cryptographic implications of quantum iO remain poorly understood. In this work, we initiate a study of the power of quantum iO. We define several natural variants of quantum iO, distinguished by whether the obfuscation algorithm, evaluation algorithm, and description of obfuscated program are classical or quantum. For each variant, we identify quantum cryptographic primitives that can be constructed under the assumption of quantum iO and the infinitely-often quantum worst-case hardness of $\mathsf{NP}$ (i.e., $\mathsf{NP}\not\subseteq \mathsf{i.o.BQP}$). In particular, we construct pseudorandom unitaries, QCCC quantum public-key encryption and (QCCC) quantum symmetric-key encryption, and several primitives implied by them such as one-way state generators, (efficiently-verifiable) one-way puzzles, and EFI pairs, etc. While our main focus is on quantum iO, even in the classical setting, our techniques yield a new and arguably simpler construction of OWFs from classical (imperfect) iO and the infinitely-often worst-case hardness of $\mathsf{NP}$.

Large Language Models (LLMs) are widely employed for their ability to generate human-like text. However, service providers may deploy smaller models to reduce costs, potentially deceiving users. Zero-Knowledge Proofs (ZKPs) offer a solution by allowing providers to prove LLM inference without compromising the privacy of model parameters. Existing solutions either do not support LLM architectures or suffer from significant inefficiency and tremendous overhead. To address this issue, this paper introduces several new techniques. We propose new methods to efficiently prove linear and non-linear layers in LLMs, reducing computation overhead by orders of magnitude. To further enhance efficiency, we propose constraint fusion to reduce the overhead of proving non-linear layers and circuit squeeze to improve parallelism. We implement our efficient protocol, specifically tailored for popular LLM architectures like GPT-2, and deploy optimizations to enhance performance. Experiments show that our scheme can prove GPT-2 inference in less than 25 seconds. Compared with state-of-the-art systems such as Hao et al. (USENIX Security'24) and ZKML (Eurosys'24), our work achieves nearly $279\times$ and $185\times$ speedup, respectively.

At ASIACRYPT 2014, Andreeva et al. put forward a definition for security of authenticated encryption under release of unverified plaintext. They introduced two notions of plaintext awareness (PA1 and its stronger sibling PA2), suggested to be used in conjunction with confidentiality in case of release of unverified plaintext, as well as the notion of integrity under release of unverified plaintext (INT-RUP). Various efforts have been made to develop a unified model (e.g., Ashur et al., CRYPTO 2017, Chang et al., ToSC 2019(4)). With respect to the analysis of existing and new modes under release of unverified plaintext, most research however has focused on INT-RUP security only. Plaintext awareness is less studied and understood. In this work, we take a detailed look at the original definitions of PA1 and PA2 security. We observe that the definitions leave too much room for interpretation, and claimed results such as PA1 security of Encrypt-then-MAC are unjustified. The core of the issue lies in the fact that PA1 security is necessarily tied to the implementation of the scheme. To resolve this, we present refined definitions of PA1 and PA2 security. We argue that even for these refined definitions, there is no implementation of Encrypt-and-MAC that is PA1 (nor PA2) secure. For MAC-then-Encrypt, results depend on the actual scheme, as we demonstrate using a negative result and a positive result (from literature, on Romulus-M). Furthermore, we formally prove for Encrypt-then-MAC that (i) there exist implementations that are PA1 insecure and (ii) there exist implementations that are PA1 secure. In other words, Encrypt-then-MAC is insecure under the old definition but secure under the new definition, provided a proper implementation is used. We apply this observation to Isap v2, finalist in the NIST Lightweight Cryptography competition, where we additionally deal with the complication that the same key is used for encryption and authentication.