International Association
for Cryptologic Research

The income of companies working on data markets steadily grows year by year. Private function evaluation (PFE) is a valuable tool in solving corresponding security problems. The task of Controlled Private Function Evaluation and its relaxed version was introduced in [Horvath et.al., 2019]. In this article, we propose and examine several different approaches for such tasks with computational and information theoretical security against static corruption adversary. The latter level of security implies quantum-security. We also build known techniques and constructions into our solution where they fit into our tasks. The main cryptographic primitive, naturally related to the task is 1-out-of-n oblivious transfer. We use Secure Multiparty Computation techniques and in one of the constructions functional encryption primitive. The analysis of the computational complexity of the constructions shows that the considered tasks can efficiently be implemented, however it depends on the range of parameter values (e.g. size of database, size of the set of permitted function), the execution environment (e.g. concurrency) and of course on the level of security.

Threshold signatures have recently seen a renewed interest due to applications in cryptocurrency while NIST has released a call for multi-party threshold schemes, with a deadline for submission expected for the first half of 2025. So far, all lattice-based threshold signatures requiring less than two-rounds are based on heavy tools such as (fully) homomorphic encryption (FHE) and homomorphic trapdoor commitments (HTDC). This is not unexpected considering that most efficient two-round signatures from classical assumptions either rely on idealized model such as algebraic group models or on one-more type assumptions, none of which we have a nice analogue in the lattice world.

In this work, we construct the first efficient two-round lattice-based threshold signature without relying on FHE or HTDC. It has an offline-online feature where the first round can be preprocessed without knowing message or the signer sets, effectively making the signing phase non-interactive. The signature size is small and shows great scalability. For example, even for a threshold as large as 1024 signers, we achieve a signature size roughly 11 KB. At the heart of our construction is a new lattice-based assumption called the algebraic one-more learning with errors (AOMMLWE) assumption. We believe this to be a strong inclusion to our lattice toolkits with an independent interest. We establish the selective security of AOMMLWE based on the standard MLWE and MSIS assumptions, and provide an in depth analysis of its adaptive security, which our threshold signature is based on.

This paper shows novel techniques to reduce the signature size of the code-based signature schemes MEDS and ALTEQ, by a large factor. For both schemes, the signature size is dominated by the responses for rounds with nonzero challenges, and we reduce the signature size by reducing the size of these responses. For MEDS, each of the responses consists of $m^2 + n^2$ field elements,while in our new protocol each response consists of only $2k$ ($k$ is usually chosen to be close to $m$ and $n$) field elements. For ALTEQ, each of the responses consists of $n^2$ field elements, while in our new protocol each response consists of about $\sqrt{2} n^{3/2}$ field elements. In both underlying $\Sigma$-protocols of the schemes, the prover generates a random isometry and sends the corresponding isometry to the verifier as the response. Instead of doing this, in our new protocols, the prover derives an isometry from some random code words and their presumed (full or partial) images. The prover sends the corresponding code words and images to the verifier as the response, so that the verifier can derive an isometry in the same way. Interestingly, it turns out that each response takes much fewer field elements to represent in this way.

In the common random string model, the parties executing a protocol have access to a uniformly random bit string. It is known that under standard intractability assumptions, we can realize any ideal functionality with universally composable (UC) security if a trusted common random string (CrS) setup is available. It was always a question of where this CrS should come from since the parties provably could not compute it themselves. Trust assumptions are required, so minimizing the level of such trust is a fundamentally important task. Our goal is to design a CrS setup protocol under a weakened trust assumption. We present an HW-token-based CrS setup for 2-party cryptographic protocols using a single token only. Our protocol is a UC-secure realization of ideal common random string functionality FCrS. We show the multiple-session security of the protocol and we also consider the multi-party extension of it.

We propose Reckle trees, a new vector commitment based on succinct RECursive arguments and MerKLE trees. Reckle trees' distinguishing feature is their support for succinct batch proofs that are updatable - enabling new applications in the blockchain setting where a proof needs to be computed and efficiently maintained over a moving stream of blocks. Our technical approach is based on embedding the computation of the batch hash inside the recursive Merkle verification via a hash-based accumulator called canonical hashing. Due to this embedding, our batch proofs can be updated in logarithmic time, whenever a Merkle leaf (belonging to the batch or not) changes, by maintaining a data structure that stores previously-computed recursive proofs. Assuming enough parallelism, our batch proofs are also computable in $O(\log n)$ parallel time - independent of the size of the batch. As a natural extension of Reckle trees, we also introduce Reckle+ trees. Reckle+ trees provide updatable and succinct proofs for certain types of Map/Reduce computations. In this setting, a prover can commit to a memory $\mathsf{M}$ and produce a succinct proof for a Map/Reduce computation over a subset $I$ of $\mathsf{M}$. The proof can be efficiently updated whenever $I$ or $\mathsf{M}$ changes.

We present and experimentally evaluate two applications of Reckle+ trees, dynamic digest translation and updatable BLS aggregation. In dynamic digest translation we are maintaining a proof of equivalence between Merkle digests computed with different hash functions, e.g., one with a SNARK-friendly Poseidon and the other with a SNARK-unfriendly Keccak. In updatable BLS aggregation we maintain a proof for the correct aggregation of a $t$-aggregate BLS key, derived from a $t$-subset of a Merkle-committed set of individual BLS keys. Our evaluation using Plonky2 shows that Reckle trees and Reckle+ trees have small memory footprint, significantly outperform previous approaches in terms of updates and verification time, enable applications that were not possible before due to huge costs involved (Reckle trees are up to 200 times faster), and have similar aggregation performance with previous implementations of batch proofs.

Random number generators (RNGs) are notoriously hard to build and test, especially in a cryptographic setting. Although one cannot conclusively determine the quality of an RNG by testing the statistical properties of its output alone, running numerical tests is both a powerful verification tool and the only universally applicable method. In this work, we present and make available a comprehensive statistical testing environment (STE) that is based on existing statistical test suites. The STE can be parameterised to run lightweight (i.e. fast) all the way to intensive testing, which goes far beyond what is required by certification bodies. With it, we benchmark the statistical properties of several RNGs, comparing them against each other. We then present and implement a variety of post-processing methods, in the form of randomness extractors, which improve the RNG's output quality under different sets of assumptions and analyse their impact through numerical testing with the STE.

Policy-compliant signatures (PCS) are a recently introduced primitive by Badertscher et al. [TCC 2021] in which a central authority distributes secret and public keys associated with sets of attributes (e.g., nationality, affiliation with a specific department, or age) to its users. The authority also enforces a policy determining which senders can sign messages for which receivers based on a joint check of their attributes. For example, senders and receivers must have the same nationality, or only senders that are at least 18 years old can send to members of the computer science department. PCS further requires attribute-privacy – nothing about the users’ attributes is revealed from their public keys and signatures apart from whether the attributes satisfy the policy or not. The policy in a PCS scheme is fixed once and for all during the setup. Therefore, a policy update requires a redistribution of all keys. This severely limits the practicality of PCS. In this work, we introduce the notion of updatable policy-compliant signatures (UPCS) extending PCS with a mechanism to efficiently update the policy without redistributing keys to all participants. We define the notion of UPCS and provide the corresponding security definitions. We then provide a generic construction of UPCS based on digital signatures, a NIZK proof system, and a so-called secret-key two-input partially-hiding predicate encryption (2-PHPE) scheme. Unfortunately, the only known way to build the latter for general two-input predicates is using indistinguishability obfuscation. We show that the reliance on the heavy tool of 2-PHPE is inherent to build UPCS by proving that non-interactive UPCS implies 2-PHPE. To circumvent the reliance on 2-PHPE, we consider interactive UPCS, which allows the sender and receiver to interact during the message signing procedure. In this setting, we present two schemes: the first one requires only a digital signature scheme, a NIZK proof system, and secure two-party computation. This scheme works for arbitrary policies, but requires sender and receiver to engage in a two-party computation protocol for each policy update. Our second scheme additionally requires a (single-input) predicate-encryption scheme but, in turn, only requires a single interaction between sender and receiver, independent of the updates. In contrast to 2-PHPE, single-input predicate encryption for certain predicate classes is known to exist (e.g., from pairings) under more concrete and well-understood assumptions.

The use of MPC-in-the-Head (MPCitH)-based zero-knowledge proofs of knowledge (ZKPoK) to prove knowledge of a preimage of a one-way function (OWF) is a popular approach towards constructing efficient post-quantum digital signatures. Starting with the Picnic signature scheme, many optimized MPCitH signatures using a variety of (candidate) OWFs have been proposed. Recently, Baum et al. (CRYPTO 2023) showed a fundamental improvement to MPCitH, called VOLE-in-the-Head (VOLEitH), which can generically reduce the signature size by at least a factor of two without decreasing computational performance or introducing new assumptions. Based on this, they designed the FAEST signature which uses AES as the underlying OWF. However, in comparison to MPCitH, the behavior of VOLEitH when using other OWFs is still unexplored.

In this work, we improve a crucial building block of the VOLEitH and MPCitH approaches, the so-called all-but-one vector commitment, thus decreasing the signature size of VOLEitH and MPCitH signature schemes. Moreover, by introducing a small Proof of Work into the signing procedure, we can improve the parameters of VOLEitH (further decreasing signature size) without compromising the computational performance of the scheme. Based on these optimizations, we propose three VOLEitH signature schemes FAESTER, KuMQuat, and MandaRain based on AES, MQ, and Rain, respectively. We carefully explore the parameter space for these schemes and implement each, showcasing their performance with benchmarks. Our experiments show that these three signature schemes outperform MPCitH-based competitors that use comparable OWFs, in terms of both signature size and signing/verification time.

The guess and determine attack is a common method in cryptanalysis. Its idea is to firstly find some variables which can deduced all remaining variables in a cipher and then traverse all values of these variables to find a solution. People usually utilize the exhausted search to find these variables. However, it is not applicable any more when the number of variables is a bit large. In this work we propose a guess and determine analysis based on set split to find as few variables as possible in the first step of guess and determine attack, which is a kind of exhausted search based on trading space for time and is more effective than the latter. Firstly we give an idea of set split in detail by introducing some conceptions such as base set, likely solution region and so on. And then we discuss how to utilize the set split to achieve a guess and determine analysis and give its specific implementation scheme. Finally, comparing it with the other two guess and determine analysis based on the exhausted search and the MILP method, we illustrate the effectiveness of our method by two ciphers Snow 2.0 and Enocoro-128v2. Our method spends about 0.000103 seconds finding a best solution of 9 variables for the former and 0.13 seconds finding a best solution of 18 variables for the latter in a personal Macbook respectively, which are better than those of both the exhausted search and the MILP method.

Over the past ten years, the statistical properties of random functions have been particularly fruitful for generic attacks. Initially, these attacks targeted iterated hash constructions and their combiners, developing a wide array of methods based on internal collisions and on the average behavior of iterated random functions. More recently, Gilbert et al. (EUROCRYPT 2023) introduced a forgery attack on so-called duplex-based Authenticated Encryption modes which was based on exceptional random functions, i.e., functions whose graph admits a large component with an exceptionally small cycle. In this paper, we expand the use of such functions in generic cryptanalysis with several new attacks. First, we improve the attack of Gilbert et al. from O(2^3c/4) to O(2^2c/3), where c is the capacity. This new attack uses a nested pair of functions with exceptional behavior, where the second function is defined over the cycle of the first one. Next, we introduce several new generic attacks against hash combiners, notably using small cycles to improve the complexities of the best existing attacks on the XOR combiner, Zipper Hash and Hash-Twice. Last but not least, we propose the first quantum second preimage attack against Hash-Twice, reaching a quantum complexity O(2^3n/7).

We explore a very simple distribution of unitaries: random (binary) phase -- Hadamard -- random (binary) phase -- random computational-basis permutation. We show that this distribution is statistically indistinguishable from random Haar unitaries for any polynomial set of orthogonal input states (in any basis) with polynomial multiplicity. This shows that even though real-valued unitaries cannot be completely pseudorandom (Haug, Bharti, Koh, arXiv:2306.11677), we can still obtain some pseudorandom properties without giving up on the simplicity of a real-valued unitary.

Our analysis shows that an even simpler construction: applying a random (binary) phase followed by a random computational-basis permutation, would suffice, assuming that the input is orthogonal and flat (that is, has high min-entropy when measured in the computational basis).

Using quantum-secure one-way functions (which imply quantum-secure pseudorandom functions and permutations), we obtain an efficient cryptographic instantiation of the above.

The elegant paradigm of Anamorphic Encryption (Persiano et al., Eurocrypt 2022) considers the question of establishing a private communication in a world controlled by a dictator. The challenge is to allow two users, sharing some secret anamorphic key, to exchange covert messages without the dictator noticing, even when the latter has full access to the regular secret keys. Over the last year several works considered this question and proposed constructions, novel extensions and strengthened definitions.

In this work we make progress on the study of this primitive in three main directions. First, we show that two general and well established encryption paradigms, namely hybrid encryption and the IBE-to-CCA transform, admit very simple and natural anamorphic extensions. Next, we show that anamorphism, far from being a phenomenon isolated to "basic" encryption schemes, extends also to homomorphic encryption. We show that some existing homomorphic schemes, (and most notably the fully homomorphic one by Gentry, Sahai and Waters) can be made anamorphic, while retaining their homomorphic properties both with respect to the regular and the covert message.

Finally we refine the notion of anamorphic encryption by envisioning the possibility of splitting the anamorphic key into an encryption component (that only allows to encrypt covert messages) and a decryption component. This makes possible for a receiver to set up several, independent, covert channels associated with a single covert key.

Pseudo-random generators are deterministic algorithms that take in input a random secret seed and output a flow of random-looking numbers. The Knapsack generator, presented by Rueppel and Massey in 1985 is one of the many attempt at designing a pseudo-random generator that is cryptographically secure. It is based on the subset-sum problem, a variant of the Knapsack optimization problem, which is considered computationally hard.

In 2011 Simon Knellwolf et Willi Meier found a way to go around this hard problem and exhibited a weakness of this generator. In addition to be able to distinguish the outputs from the uniform distribution, they designed an algorithm that retrieves a large portion of the secret. We present here an alternate version of the attack, with similar costs, that works on the same range of parameters but retrieves a larger portion of the secret.

Physically Unclonable Functions (PUFs) have been a potent choice for enabling low-cost, secure communication. However, in most applications, one party holds the PUF, and the other securely stores the challenge-response pairs (CRPs). It does not remove the need for secure storage entirely, which is one of the goals of PUFs. This paper proposes a PUF-based construction called Harmonizing PUFs ($\textsf{H_PUF}$s), allowing two independent PUFs to generate the same outcome without storing any confidential data. As an application of $\textsf{H_PUF}$ construction, we present $\textsf{H-AKE}$: a low-cost authenticated key exchange protocol for resource-constrained nodes that is secure against replay and impersonation attacks. The novelty of the protocol is that it achieves forward secrecy without requiring to perform asymmetric group operations like elliptic curve scalar multiplications underlying traditional key-exchange techniques.

The Advanced Encryption Standard (AES) is one of the most commonly used and analyzed encryption algorithms. In this work, we present new combinations of some prominent attacks on AES, achieving new records in data requirements among attacks, utilizing only $2^4$ and $2^{16}$ chosen plaintexts (CP) for 6-round and 7-round AES-192/256 respectively. One of our attacks is a combination of a meet-in-the-middle (MiTM) attack with a square attack mounted on 6-round AES-192/256 while another attack combines an MiTM attack and an integral attack, utilizing key space partitioning technique, on 7-round AES-192/256. Moreover, we illustrate that impossible differential (ID) attacks can be viewed as the dual of MiTM attacks in certain aspects which enables us to recover the correct key using the meet-in-the-middle (MiTM) technique instead of sieving through all potential wrong keys in our ID attack. Furthermore, we introduce the constant guessing technique in the inner rounds which significantly reduces the number of key bytes to be searched. The time and memory complexities of our attacks remain marginal.

Private Information Retrieval (PIR) is a two player protocol where the client, given some query $x \in [N]$ interacts with the server, which holds a $N$-bit string $\textsf{DB}$ in order to privately retrieve $\textsf{DB}[x]$. In this work, we focus on the single server client-preprocessing model, initially idealized by Corrigan-Gibbs and Kogan (EUROCRYPT 2020), where the client and server first run some joint preprocessing algorithm, after which the client can retrieve elements of the server's string $\textsf{DB}$ privately in time sublinear in $N$.

All known constructions of single server client-preprocessing PIR rely on one of the following two paradigms: (1) a linear-bandwidth offline phase where the client downloads the whole database from the server, or (2) a sublinear-bandwidth offline phase where however the server has to compute a large-depth ($O_\lambda (N)$) circuit under FHE in order to execute the preprocessing phase.

In this paper, we construct a single server client-preprocessing PIR scheme which achieves both sublinear offline bandwidth (the client does not have to download the whole database offline) and a low-depth (i.e. $O_\lambda(1)$), highly parallelizable preprocessing circuit. We estimate that on a single thread, our scheme's preprocessing time should be more than 350x times faster than in prior single server client-preprocessing PIR constructions. Moreover, with parallelization, the latency reduction would be even more drastic. In addition, this construction also allows for updates in $O_\lambda (1)$ time, something not achieved before in this model.

A verifiable delay function $\texttt{VDF}(x,T)\rightarrow (y,\pi)$ maps an input $x$ and time parameter $T$ to an output $y$ together with an efficiently verifiable proof $\pi$ certifying that $y$ was correctly computed. The function runs in $T$ sequential steps, and it should not be possible to compute $y$ much faster than that. The only known practical VDFs use sequential squaring in groups of unknown order as the sequential function, i.e., $y=x^{2^T}$. There are two constructions for the proof of exponentiation (PoE) certifying that $y=x^{2^T}$, with Wesolowski (Eurocrypt'19) having very short proofs, but they are more expensive to compute and the soundness relies on stronger assumptions than the PoE proposed by Pietrzak (ITCS'19).

A recent application of VDFs by Arun, Bonneau and Clark (Asiacrypt'22) are short-lived proofs and signatures, which are proofs and signatures which are only sound for some time $t$, but after that can be forged by anyone. For this they rely on "watermarkable VDFs", where the proof embeds a prover chosen watermark. To achieve stronger notions of proofs/signatures with reusable forgeability, they rely on "zero-knowledge VDFs", where instead of the output $y$, one just proves knowledge of this output. The existing proposals for watermarkable and zero-knowledge VDFs all build on Wesolowski's PoE, for the watermarkable VDFs there's currently no security proof.

In this work we give the first constructions that transform any PoEs in hidden order groups into watermarkable VDFs and into zkVDFs, solving an open question by Arun et al.. Unlike our watermarkable VDF, the zkVDF (required for reusable forgeability) is not very practical as the number of group elements in the proof is a security parameter. To address this, we introduce the notion of zero-knowledge proofs of sequential work (zkPoSW), a notion that relaxes zkVDFs by not requiring that the output is unique. We show that zkPoSW are sufficient to construct proofs or signatures with reusable forgeability, and construct efficient zkPoSW from any PoE, ultimately achieving short lived proofs and signatures that improve upon Arun et al's construction in several dimensions (faster forging times, weaker assumptions).

A key idea underlying our constructions is to not directly construct a (watermarked or zk) proof for $y=x^{2^T}$, but instead give a (watermarked or zk) proof for the more basic statement that $x',y'$ satisfy $x'=x^r,y'=y^r$ for some $r$, together with a normal PoE for $y'=(x')^{2^T}$.

This paper introduces a new approach to construct zero-knowledge large language models (zkLLM) based on the Folding technique. We first review the concept of Incrementally Verifiable Computation (IVC) and compare the IVC constructions based on SNARK and Folding. Then we discuss the necessity of Non-uniform IVC (NIVC) and present several Folding schemes that support more expressive circuits, such as SuperNova, Sangria, Origami, HyperNova, and Protostar. Based on these techniques, we propose a zkLLM design that uses a RAM machine architecture with a set of opcodes. We define corresponding constraint circuits for each opcode and describe the workflows of the prover and verifier. Finally, we provide examples of opcodes to demonstrate the circuit construction methods. Our zkLLM design achieves high efficiency and expressiveness, showing great potential for practical applications.

Multi-valued Validated Asynchronous Byzantine Agreement ($\mathsf{MVBA}$) is one essential primitive for many distributed protocols, such as asynchronous Byzantine fault-tolerant scenarios like atomic broadcast ($\mathsf{ABC}$), asynchronous distributed key generation, and many others. Recent surge of efforts have pushed the communication complexity of such protocols from $O(\ell n^2 + \lambda n^2 + n^3)$ (Cachin et al, CRYPTO'00), to $O(\ell n^2 + \lambda n^2)$ (Abbraham et al, PODC'19) and finally to optimal $O(\ell n + \lambda n^2)$ (Lu et al, PODC' 20), for $\ell$-bit inputs across a network of $n$ nodes, with security parameter $\lambda$.

However, those constructions of $\mathsf{MVBA}$ heavily rely on ``heavyweight'' cryptographic tools, such as non-interactive threshold signatures. The computational cost of algebraic operations, the susceptibility to quantum attacks, and the necessity of a trusted setup associated with threshold signatures present significant remaining challenges. There is a growing interest in information-theoretic or hash-based constructions (historically called signature-free constructions). Unfortunately, the state-of-the-art hash-based $\mathsf{MVBA}$ (Duan et al., CCS'23) incurs a large $O(\ell n^2 + \lambda n^3)$-bits communication, which in turn makes the hash-based $\mathsf{MVBA}$ inferior performance-wise comparing with the ``classical'' ones. Indeed, this was clearly demonstrated in our experimental evaluations.

To make hash-based $\mathsf{MVBA}$ actually realize its full potential, in this paper, we introduce an $\mathsf{MVBA}$ with adaptive security, and $\widetilde{O}(\ell n + \lambda n^2)$ communication, exclusively leveraging conventional hash functions. Our new $\mathsf{MVBA}$ achieves nearly optimal communication, devoid of heavy operations, surpassing both threshold signature-based schemes and the hash-based scheme in many practical settings, as demonstrated in our experiments. For example, in scenarios with a network size of $n = 201$ and an input size of $1.75$ MB, our $\mathsf{MVBA}$ exhibits a latency that is 81\% lower than that of the existing hash-based $\mathsf{MVBA}$ and 47\% lower than the threshold signature-based $\mathsf{MVBA}$. Our new construction also achieves optimal parameters in other metrics such as $O(1)$ rounds and $O(n^2)$ message complexity, except with a sub-optimal resilience, tolerating up to $20\%$ Byzantine corruptions (instead of $33\%$). Given its practical performance advantages, our new hash-based $\mathsf{MVBA}$ naturally leads to better asynchronous distributed protocols, by simply plugging it into existing frameworks.

SHA2 has been widely adopted across various traditional public-key cryptosystems, post-quantum cryptography, personal identification, and network communication protocols, etc. Hence, ensuring the robust security of SHA2 is of critical importance. There have been several differential fault attacks based on random word faults targeting SHA1 and SHACAL-2. However, extending such random word-based fault attacks to SHA2 proves significantly more difficult due to the heightened complexity of the boolean functions in SHA2.

In this paper, assuming random word faults, we find some distinctive differential properties within the boolean functions in SHA2. Leveraging these findings, we propose a new differential fault attack methodology that can be effectively utilized to recover the final message block and its corresponding initial vector in SHA2, forge HMAC-SHA2 messages, extract the key of SHACAL-2, and extend our analysis to similar algorithm like SM3. We validate the effectiveness of these attacks through rigorous simulations and theoretical deductions, revealing that they indeed pose substantial threats to the security of SHA2. In our simulation-based experiments, our approach necessitates guessing $T$ bits within a register, with $T$ being no more than $5$ at most, and having a approximate $95\%$ (for SHA512) probability of guessing just $1$ bit. Moreover, upon implementing a consecutive series of 15 fault injections, the success probability for recovering one register (excluding the guessed bits) approaches $100\%$. Ultimately, approximately 928 faulty outputs based on random word faults are required to carry out the attack successfully.