The National Institute for Standards and Technology (NIST) initiated a standardization procedure for additional digital signatures and recently announced round-2 candidates for the PQ additional digital signature schemes. The multivariate digital signature scheme Unbalanced Oil and Vinegar (UOV) is one of the oldest post-quantum schemes and has been selected by NIST for Round 2. Although UOV is mathematically secure, several side-channel attacks (SCA) have been shown on the UOV or UOV-based...

As Succinct Non-interactive Arguments of Knowledge (SNARKs) gain traction for large-scale applications, distributed proof generation is a promising technique to horizontally scale up the performance. In such protocols, the workload to generate SNARK proofs is distributed among a set of workers, potentially with the help of a coordinator. Desiderata include linear worker time (in the size of their sub-tasks), low coordination overhead, low communication complexity, and accountability (the...

During the past decade, Deep Neural Networks (DNNs) proved their value on a large variety of subjects. However despite their high value and public accessibility, the protection of the intellectual property of DNNs is still an issue and an emerging research field. Recent works have successfully extracted fully-connected DNNs using cryptanalytic methods in hard-label settings, proving that it was possible to copy a DNN with high fidelity, i.e., high similitude in the output predictions....

Side-channel attacks pose a serious risk to cryptographic implementations, particularly in embedded systems. While current methods, such as test vector leakage assessment (TVLA), can identify leakage points, they do not provide insights into their root causes. We propose ARCHER, an architecture-level tool designed to perform side-channel analysis and root cause identification for software cryptographic implementations on RISC-V processors. ARCHER has two main components: (1) Side-Channel...

Zero-knowledge proof (ZKP) is a cryptographic primitive that enables one party to prove the validity of a statement to other parties without disclosing any secret information. With its widespread adoption in applications such as blockchain and verifiable machine learning, the demand for generating zero-knowledge proofs has increased dramatically. In recent years, considerable efforts have been directed toward developing GPU-accelerated systems for proof generation. However, these previous...

Boneh et al. (CRYPTO'18) proposed two $t$-out-of-$N$ threshold fully homomorphic encryption ($\sf TFHE$) schemes based on Shamir secret sharing scheme and $\{0,1\}$-linear secret sharing scheme. They demonstrated the simulation security, ensuring no information leakage during partial or final decryption. This breakthrough allows any scheme to be converted into a threshold scheme by using $\sf TFHE$. We propose two polynomial time algorithms to break the simulation security of...

We extend the concept of access control for functional encryption, introduced by Abdalla et al. (ASIACRYPT 2020), to function-revealing encryption (Joy and Passelègue, SCN 2018). Here “access control” means that function evaluation is only possible when a specified access policy is met. Specifically, we introduce access-controlled inner product function-revealing encryption (AC-IPFRE) and give two applications. On the theoretical side, we use AC-IPFRE to show that function-hiding...

Efficiently verifying mathematical proofs and computations has been a heavily researched topic within Computer Science. Particularly, even repetitive steps within a proof become much more complex and inefficient to validate as proof sizes grow. To solve this problem, we suggest viewing it through the lens of Incrementally Verifiable Computation (IVC). However, many IVC methods, including the state-of-the-art Nova recursive SNARKs, require proofs to be linear and for each proof step to be...

In response to the quantum threat, new post-quantum cryptographic algorithms will soon be deployed to replace existing public-key schemes. MAYO is a quantum-resistant digital signature scheme whose small keys and signatures make it suitable for widespread adoption, including on embedded platforms with limited security resources. This paper demonstrates two single-trace side-channel attacks on a MAYO implementation in ARM Cortex-M4 that recover a secret key with probabilities of 99.9% and...

The hardness of lattice problems offers one of the most promising security foundations for quantum-safe cryptography. Basic schemes for public key encryption and digital signatures are already close to standardization at NIST and several other standardization bodies, and the research frontier has moved on to building primitives with more advanced privacy features. At the core of many such primi- tives are zero-knowledge proofs. In recent years, zero-knowledge proofs for (and using)...

We construct and implement an efficient post-quantum commutative cryptographic group action based on combining the SCALLOP framework for group actions from isogenies of oriented elliptic curves on one hand with the recent Clapoti method for polynomial-time evaluation of the CM group action on elliptic curves on the other. We take advantage of the very attractive performance of $(2^e, 2^e)$-isogenies between products of elliptic curves in the theta coordinate system. To successfully apply...

We introduce Zero-Knowledge Location Privacy (ZKLP), enabling users to prove to third parties that they are within a specified geographical region while not disclosing their exact location. ZKLP supports varying levels of granularity, allowing for customization depending on the use case. To realize ZKLP, we introduce the first set of Zero-Knowledge Proof (ZKP) circuits that are fully compliant to the IEEE 754 standard for floating-point arithmetic. Our results demonstrate that our...

Lookups are a popular way to express repeated constraints in state-of-the art SNARKs. This is especially the case for zero-knowledge virtual machines (zkVMs), which produce succinct proofs of correct execution for programs expressed as bytecode according to a specific instruction set architecture (ISA). The Jolt zkVM (Arun, Setty & Thaler, Eurocrypt 2024) for RISC-V ISA employs Lasso (Setty, Thaler & Wahby, Eurocrypt 2024), an efficient lookup argument for massive structured tables, to prove...

Searchable symmetric encryption (SSE) enables queries over symmetrically encrypted databases. To achieve practical efficiency, SSE schemes incur a certain amount of leakage; however, this leads to the possibility of leakage cryptanalysis, i.e., cryptanalytic attacks that exploit the leakage from the target SSE scheme to subvert its data and query privacy guarantees. Leakage cryptanalysis has been widely studied in the context of SSE schemes supporting either keyword queries or range queries,...

Classical symmetric encryption algorithms use $N$ bits of a shared secret key to transmit $N$ bits of a message over a one-way channel in an information theoretically secure manner. This paper proposes a hybrid quantum-classical symmetric cryptosystem that uses a quantum computer to generate the secret key. The algorithm leverages quantum circuits to encrypt a message using a one-time pad-type technique whilst requiring a shorter classical key. We show that for an $N$-qubit...

In this work, we propose the first hardware implementation of Classic McEliece protected with countermeasures against Side-Channel Attacks (SCA) and Fault Injection Attacks (FIA). Classic Mceliece is one of the leading candidates for Key Encapsulation Mechanisms (KEMs) in the ongoing round 4 of the NIST standardization process for post-quantum cryptography. In particular, we implement a range of generic countermeasures against SCA and FIA, particularly protected the vulnerable operations...

The Multi-Scalar Multiplication (MSM) is the main barrier to accelerating Zero-Knowledge applications. In recent years, hardware acceleration of this algorithm on both FPGA and GPU has become a popular research topic and the subject of a multi-million dollar prize competition (ZPrize). This work presents OPTIMSM: Optimized Processing Through Iterative Multi-Scalar Multiplication. This novel accelerator focuses on the acceleration of the MSM algorithm for any Elliptic Curve (EC) by improving...

We propose a Polynomial Commitment Scheme (PCS), called BrakingBase, which allows a prover to commit to multilinear (or univariate) polynomials with $n$ coefficients in $O(n)$ time. The evaluation protocol of BrakingBase operates with an $O(n)$ time-complexity for the prover, while the verifier time-complexity and proof-complexity are $O(\lambda \log^2 n)$, where $λ$ is the security parameter. Notably, BrakingBase is field-agnostic, meaning it can be instantiated over any field of...

Secure aggregation is the distributed task of securely computing a sum of values (or a vector of values) held by a set of parties, revealing only the output (i.e., the sum) in the computation. Existing protocols, such as Prio (NDSI’17), Prio+ (SCN’22), Elsa (S&P’23), and Whisper (S&P’24), support secure aggregation with input validation to ensure inputs belong to a specified domain. However, when malicious servers are present, these protocols primarily guarantee privacy but not input...

As cryptographic protocols continue to become more complex and specialized, their security proofs have grown more complex as well, making manual verification of their correctness more difficult. Formal verification via proof assistants has become a popular approach to solving this, by allowing researchers to write security proofs that can be verified correct by a computer. In this paper we present a new framework of this kind for verifying security proofs, taking a foundational approach...

Multivariate cryptography currently centres mostly around UOV-based signature schemes: All multivariate round 2 candidates in the selection process for additional digital signatures by NIST are either UOV itself or close variations of it: MAYO, QR-UOV, SNOVA, and UOV. Also schemes which have been in the focus of the multivariate research community, but are broken by now - like Rainbow and LUOV - are based on UOV. Both UOV and the schemes based on it have been frequently analyzed regarding...

We present the protected hardware implementation of the Module-Lattice-Based Digital Signature Standard (ML-DSA). ML-DSA is an extension of Dilithium 3.1, which is the winner of the Post Quantum Cryptography (PQC) competition in the digital signature category. The proposed design is based on the existing high-performance Dilithium 3.1 design. We implemented existing Dilithium masking gadgets in hardware, which were only implemented in software. The masking gadgets are integrated with the...

Remote Keyless Entry (RKE) systems are ubiqui- tous in modern day automobiles, providing convenience for vehicle owners - occasionally at the cost of security. Most automobile companies have proprietary implementations of RKE; these are sometimes built on insecure algorithms and authentication mechanisms. This paper presents a compre- hensive study conducted on the RKE systems of multiple cars from four automobile manufacturers not previously explored. Specifically, we analyze the...

Privacy-preserving blockchains and private messaging services that ensure receiver-privacy face a significant UX challenge: each client must scan every payload posted on the public bulletin board individually to avoid missing messages intended for them. Oblivious Message Retrieval (OMR) addresses this issue by securely outsourcing this expensive scanning process to a service provider using Homomorphic Encryption (HE). In this work, we propose a new OMR scheme that substantially improves...

Pseudo-Random Injections (PRIs) have had several applications in symmetric-key cryptography, such as in the idealization of Authenticated Encryption with Associated Data (AEAD) schemes, building robust AEAD, and, recently, in converting a committing AEAD scheme into a succinctly committing AEAD scheme. In Crypto 2024, Bellare and Hoang showed that if an AEAD scheme is already committing, it can be transformed into a succinctly committed scheme by encrypting part of the plaintext using a PRI....

We introduce a method for enforcing covenants on Bitcoin outputs without requiring any changes to Bitcoin by designing a hash collision based equivalence check which bridges Bitcoin's limited Big Script to Bitcoin's Small Script. This allows us evaluate the signature of the spending transaction (available only to Big Script) in Small Script. As Small Script enables arbitrary computations, we can introspect into the spending transaction and enforce covenants on it. Our approach leverages...

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...

\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}....

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...

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...

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...

Aaronson, Atia, and Susskind [Aaronson et al., 2020] established that efficiently mapping between quantum states $\ket{\psi}$ and $\ket{\phi}$ is computationally equivalent to distinguishing their superpositions $\frac{1}{\sqrt{2}}(|\psi\rangle + |\phi\rangle)$ and $\frac{1}{\sqrt{2}}(|\psi\rangle - |\phi\rangle)$. We generalize this insight into a broader duality principle in quantum computation, wherein manipulating quantum states in one basis is equivalent to extracting their value in a...

Service discovery is essential in wireless communications. However, existing service discovery protocols provide no or very limited privacy protection for service providers and clients, and they often leak sensitive information (e.g., service type, client’s identity and mobility pattern), which leads to various network-based attacks (e.g., spoofing, man-in-the-middle, identification and tracking). In this paper, we propose a private service discovery protocol, called PriSrv, which allows a...

We say there is a share conversion from a secret sharing scheme $\Pi$ to another scheme $\Pi'$ implementing the same access structure if each party can locally apply a deterministic function to their share to transform any valid secret sharing under $\Pi$ to a valid (but not necessarily random) secret sharing under $\Pi'$ of the same secret. If such a conversion exists, we say that $\Pi\ge\Pi'$. This notion was introduced by Cramer et al. (TCC'05), where they particularly proved that for...

Digital signature schemes based on multivariate- and code-based hard problems are promising alternatives for lattice-based signature schemes, due to their smaller signature size. Hence, several candidates in the ongoing additional standardization for quantum secure digital signature (DS) schemes by the National Institute of Standards and Technology (NIST) rely on such alternate hard problems. Gaussian Elimination (GE) is a critical component in the signing procedure of these schemes. In this...

In 2020, Castryck-Decru-Smith constructed a hash function, using the (2,2)-isogeny graph of superspecial principally polarized abelian surfaces. In their construction, the initial surface was chosen from vertices very "close" to the square of a supersingular elliptic curve with a known endomorphism ring. In this paper, we introduce an algorithm for detecting a collision on their hash function. Under some heuristic assumptions, the time complexity and space complexity of our algorithm are...

Falcon is a winner of NIST's six-year post-quantum cryptography standardisation competition. Based on the celebrated full-domain-hash framework of Gentry, Peikert and Vaikuntanathan (GPV) (STOC'08), Falcon leverages NTRU lattices to achieve the most compact signatures among lattice-based schemes. Its security hinges on a Rényi divergence-based argument for Gaussian samplers, a core element of the scheme. However, the GPV proof, which uses statistical distance to argue closeness of...

Bitcoin, while being the most prominent blockchain with the largest market capitalization, suffers from scalability and throughput limitations that impede the development of ecosystem projects like Bitcoin Decentralized Finance (BTCFi). Recent advancements in BitVM propose a promising Layer 2 (L2) solution to enhance Bitcoin's scalability by enabling complex computations off-chain with on-chain verification. However, Bitcoin's constrained programming environment—characterized by its...

Elliptic Curve Point Multiplication (ECPM) is a key component of the Elliptic Curve Cryptography (ECC) hierarchy protocol. However, the specific estimation of resources required for this process remains underexplored despite its significance in the cryptanalysis of ECC algorithms, particularly binary ECC in GF (2𝑚). Given the extensive use of ECC algorithms in various security protocols and devices, it is essential to conduct this examination to gain valuable insights into its cryptanalysis,...

Homomorphically encrypted matrix operations are extensively used in various privacy-preserving applications. Consequently, reducing the cost of encrypted matrix operations is a crucial topic on which numerous studies have been conducted. In this paper, we introduce a novel matrix encoding method, named bicyclic encoding, under which we propose two new algorithms BMM-I and BMM-II for encrypted matrix multiplication. BMM-II outperforms the stat-of-the-art algorithms in theory, while BMM-I,...

Homomorphic Encryption (HE) technology allows for processing encrypted data, breaking through data isolation barriers and providing a promising solution for privacy-preserving computation. The integration of HE technology into Convolutional Neural Network (CNN) inference shows potential in addressing privacy issues in identity verification, medical imaging diagnosis, and various other applications. The CKKS HE algorithm stands out as a popular option for homomorphic CNN inference due to its...

A crucial ingredient for many cryptographic primitives such as key exchange protocols and advanced signature schemes is a commutative group action where the structure of the underlying group can be computed efficiently. SCALLOP provides such a group action, based on oriented supersingular elliptic curves. We present PEARL-SCALLOP, a variant of SCALLOP that changes several parameter and design choices, thereby improving on both efficiency and security and enabling feasible parameter...

Evaluation of cryptographic implementations with respect to side-channels has been mandated at high security levels nowadays. Typically, the evaluation involves four stages: detection, modeling, certification and secret recovery. In pursuit of specific goal at each stage, inherently different techniques used to be considered necessary. However, since the recent works of Eurocrypt2022 and Eurocrypt2024, linear regression analysis (LRA) has uniquely become the technique that is well-applied...

We provide explicit descriptions for radical 2-isogenies in dimensions one, two and three using theta coordinates. These formulas allow us to efficiently navigate in the corresponding isogeny graphs. As an application of this, we implement different versions of the CGL hash func- tion. Notably, the three-dimensional version is fastest, which demonstrates yet another potential of using higher dimensional isogeny graphs in cryptography.

Large polynomial multiplication is one of the computational bottlenecks in fully homomorphic encryption implementations. Usually, these multiplications are implemented using the number-theoretic transformation to speed up the computation. State-of-the-art GPU-based implementation of fully homomorphic encryption computes the number theoretic transformation in two different kernels, due to the necessary synchronization between GPU blocks to ensure correctness in computation. This can be a...

NTRU is one of the most extensively studied lattice-based schemes. Its flexible design has inspired different proposals constructed over different rings, with some aiming to enhance security and others focusing on improving performance. The literature has introduced a line of noncommutative NTRU-like designs that claim to offer greater resistance to existing attacks. However, most of these proposals are either theoretical or fall short in terms of time and memory requirements when compared...

There are two security notions for FHE schemes the traditional notion of IND-CPA, and a more stringent notion of IND-CPA$^D$. The notions are equivalent if the FHE schemes are perfectly correct, however for schemes with negligible failure probability the FHE parameters needed to obtain IND-CPA$^D$ security can be much larger than those needed to obtain IND-CPA security. This paper uses the notion of ciphertext drift in order to understand the practical difference between IND-CPA and...

Private Set Intersection (PSI) allows two mutually untrusted parties to compute the intersection of their private sets without revealing additional information. In general, PSI operates in a static setting, where the computation is performed only once on the input sets of both parties. Badrinarayanan et al. (\textit{PoPETs} 2022) initiated the study of Updatable PSI (UPSI), which extends this capability to dynamically updating sets, enabling both parties to securely compute the intersection...

Falcon is one of the three postquantum signature schemes already selected by NIST for standardization. It is the most compact among them, and offers excellent efficiency and security. However, it is based on a complex algorithm for lattice discrete Gaussian sampling which presents a number of implementation challenges. In particular, it relies on (possibly emulated) floating-point arithmetic, which is often regarded as a cause for concern, and has been leveraged in, e.g., side-channel...

We propose a dynamic, low-latency encrypted multi-map (EMM) that operates in two modes: low-leakage mode, which reveals minimal information such as data size, expected response length, and query arrival rate; and subliminal mode, which reveals only the data size while hiding metadata including query and update times, the number of operations executed, and even whether an operation was executed at all---albeit at the cost of full correctness. We achieve this by exploiting a tradeoff...

Fully asynchronous multi-party computation (AMPC) has superior robustness in realizing privacy and guaranteed output delivery (G.O.D.) against asynchronous adversaries that can arbitrarily delay communications. However, none of these protocols are truly practical, as they either have sub-optimal resilience, incur cumbersome communication cost, or suffer from an online phase with extra cryptographic overhead. The only attempting implementation---HoneyBadgerMPC (hbMPC)---merely ensures G.O.D....

The FHEW-like gate bootstrapping framework operates in a 2-bit plaintext space, where logic gates such as NAND, XOR, and AND are implemented by adding two ciphertexts and extracting the most significant bit. However, each gate operation requires bootstrapping with a primary cost of one blind rotation, which is expensive, when processing circuit operations for applications. We propose a novel Free-XOR gate bootstrapping framework based on a single-bit plaintext space, in which the XOR...

Transciphering (or Hybrid-Homomorphic Encryption, HHE) is an es- tablished technique for avoiding ciphertext expansion in HE applications, saving communication and storage resources. Recently, it has also been shown to be a fundamental component in the practical construction of HE-based multi-party computation (MPC) protocols, being used both for input data and intermediary results (Smart, IMACC 2023). In these protocols, however, ciphers are used with keys that are jointly generated by...

Reductions are the workhorses of cryptography. They allow constructions of complex cryptographic primitives from simple building blocks. A prominent example is the non-interactive reduction from securely computing a ``complex" function $f$ to securely computing a ``simple" function $g$ via randomized encodings. Prior work equated simplicity with functions of small degree. In this work, we consider a different notion of simplicity where we require $g$ to only take inputs from a small...

In aggregation queries, predicate parameters often reveal user intent. Protecting these parameters is critical for user privacy, regardless of whether the database is public or private. While most existing works focus on private data settings, we address a public data setting where the server has access to the database. Current solutions for this setting either require additional setups (e.g., noncolluding servers, hardware enclaves) or are inefficient for practical workloads. Furthermore,...

With the recent standardization of post-quantum cryptographic algorithms, research efforts have largely remained centered on public key exchange and encryption schemes. Argument systems, which allow a party to efficiently argue the correctness of a computation, have received comparatively little attention regarding their quantum-resilient design. These computational integrity frameworks often rely on cryptographic assumptions, such as pairings or group operations, which are vulnerable to...

Classic McEliece is one of the three code-based candidates in the fourth round of the NIST post-quantum cryptography standardization process in the Key Encapsulation Mechanism category. As such, its decapsulation algorithm is used to recover the session key associated with a ciphertext using the private key. In this article, we propose a new side-channel attack on the syndrome computation in the decapsulation algorithm that recovers the private key, which consists of the private Goppa...

One of the main candidates of post-quantum cryptography is lattice-based cryptography. Its cryptographic security against quantum attackers is based on the worst-case hardness of lattice problems like the shortest vector problem (SVP), which asks to find the shortest non-zero vector in an integer lattice. Asymptotic quantum speedups for solving SVP are known and rely on Grover's search. However, to assess the security of lattice-based cryptography against these Grover-like quantum speedups,...

We propose a generic framework called GAPP for aggregation of polynomial protocols. This allows proving $n$ instances of a polynomial protocol using a single aggregate proof that has $O(\log n)$ size, and can be verified using $O(\log^2 n)$ operations. The satisfiability of several univariate polynomial identities over a domain is reduced to the satisfiability of a single bivariate polynomial identity over a related domain, where the bivariate polynomials interpolate a batch of univariate...

In this paper, we show for the first time it is practical to privately delegate proof generation of zkSNARKs proving up to $2^{20}$ R1CS constraints to a single server. We achieve this by homomorphically computing zkSNARK proof generation, an approach we call blind zkSNARKs. We formalize the concept of blind proofs, analyze their cryptographic properties and show that the resulting blind zkSNARKs remain sound when compiled using BCS compilation. Garg et al. gave a similar framework at CRYPTO...

With the demand of cryptocurrencies, threshold ECDSA recently regained popularity. So far, several methods have been proposed to construct threshold ECDSA, including the usage of OT and homomorphic encryptions (HE). Due to the mismatch between the plaintext space and the signature space, HE-based threshold ECDSA always requires zero-knowledge range proofs, such as Paillier and Joye-Libert (JL) encryptions. However, the overhead of range proofs constitutes a major portion of the total...

Large language models (LLMs) have recently transformed many industries, enhancing content generation, customer service agents, data analysis and even software generation. These applications are often hosted on remote servers to protect the neural-network model IP; however, this raises concerns about the privacy of input queries. Fully Homomorphic Encryption (FHE), an encryption technique that allows for computations on private data, has been proposed as a solution to the challenge....

Fully Homomorphic Encryption (FHE) is a powerful technology that allows a cloud server to perform computations directly on ciphertexts. To overcome the overhead of sending and storing large FHE ciphertexts, the concept of FHE transciphering was introduced, allowing symmetric key encrypted ciphertexts to be transformed into FHE ciphertexts by deploying symmetric key decryption homomorphically. However, existing FHE transciphering schemes remain unauthenticated and malleable, allowing...

Bootstrapping is the core task in fully homomorphic encryption. It is designed to self-clean encrypted data to support unlimited level of homomorphic computing. FHEW/TFHE cryptosystem provides the fastest bootstrapping machinery in addition to the unique homomorphic evaluation functionality. In 2021, the problem of large-precision bootstrapping was investigated in the literature, with fast algorithms proposed and implemented. A common strategy to all the algorithms is to decompose the...

Homomorphic Encryption (HE) enables operations on encrypted data without requiring decryption, thus allowing for secure handling of confidential data within smart contracts. Among the known HE schemes, FHEW and TFHE are particularly notable for use in smart contracts due to their lightweight nature and support for arbitrary logical gates. In contrast, other HE schemes often require several gigabytes of keys and are limited to supporting only addition and multiplication. As a result, there...

Distributed point functions (DPF) are increasingly becoming a foundational tool with applications for application-specific and general secure computation. While two-party DPF constructions are readily available for those applications with satisfiable performance, the three-party ones are left behind in both security and efficiency. In this paper we close this gap and propose the first three-party DPF construction that matches the state-of-the-art two-party DPF on all metrics. Namely, it...

Top trading cycles (TTC) is a famous algorithm for trading indivisible goods between a set of agents such that all agents are as happy as possible about the outcome. In this paper, we present a protocol for executing TTC in a privacy preserving way. To the best of our knowledge, it is the first of its kind. As a technical contribution of independent interest, we suggest a new algorithm for determining all nodes in a functional graph that are on a cycle. The algorithm is particularly well...

Recent advances in differentially private federated learning (DPFL) algorithms have found that using correlated noise across the rounds of federated learning (DP-FTRL) yields provably and empirically better accuracy than using independent noise (DP-SGD). While DP-SGD is well-suited to federated learning with a single untrusted central server using lightweight secure aggregation protocols, secure aggregation is not conducive to implementing modern DP-FTRL techniques without assuming a trusted...

Oblivious map (OMAP) is an important component in encrypted databases, utilized to safeguard against the server inferring sensitive information about client's encrypted key-value stores based on access patterns. Despite its widespread usage and importance, existing OMAP solutions face practical challenges, including the need for a large number of interaction rounds between the client and server, as well as the substantial communication bandwidth requirements. For example, the...

We improve the performance of lattice-based cryptosystems Dilithium on Cortex-M3 with expensive multiplications. Our contribution is two-fold: (i) We generalize Barrett multiplication and show that the resulting shape-independent modular multiplication performs comparably to long multiplication on some platforms without special hardware when precomputation is free. We call a modular multiplication “shape-independent” if its correctness and efficiency depend only on the magnitude of moduli...

Blockchain-based auction markets offer stronger fairness and transparency compared to their centralized counterparts. Deposits and sealed bid formats are usually applied to enhance security and privacy. However, to our best knowledge, the formal treatment of deposit-enabled sealed-bid auctions remains lacking in the cryptographic literature. To address this gap, we first propose a decentralized anonymous deposited-bidding (DADB) scheme, providing formal syntax and security definitions....

An involution is a permutation that is the inverse of itself. Involutions have attracted plenty attentions in cryptographic community due to their advantage regarding hardware implementations. In this paper, we reconsider constructing {\it pseudorandom involutions}. We demonstrate two constructions. First, the 4-round Feistel network {\it using the same random function (Feistel-SF) in every round} is a pseudorandom involution. This shows the Feistel-SF construction still provides...

Masking schemes are key in thwarting side-channel attacks due to their robust theoretical foundation. Transitioning from Boolean to arithmetic (B2A) masking is a necessary step in various cryptography schemes, including hash functions, ARX-based ciphers, and lattice-based cryptography. While there exists a significant body of research focusing on B2A software implementations, studies pertaining to hardware implementations are quite limited, with the majority dedicated solely to creating...

Speed efficiency, memory optimization, and quantum resistance are essential for safeguarding the performance and security of cloud computing environments. Fully Homomorphic Encryption (FHE) addresses this need by enabling computations on encrypted data without requiring decryption, thereby maintaining data privacy. Additionally, lattice-based FHE is quantum secure, providing defense against potential quantum computer attacks. However, the performance of current FHE schemes remains...

The Ducas-Micciancio (DM/FHEW) and Chilotti-Gama-Georgieva-Izabachène (CGGI/TFHE) cryptosystems provide a general privacy-preserving computation capability. These fully homomorphic encryption (FHE) cryptosystems can evaluate an arbitrary function expressed as a general look-up table (LUT) via the method of functional bootstrapping (also known as programmable bootstrapping). The main limitation of DM/CGGI functional bootstrapping is its efficiency because this procedure has to bootstrap every...

In this paper, we introduce a novel approach to Multi-Key Fully Homomorphic Encryption (MK-FHE) that enhances both efficiency and security beyond the capabilities of traditional MK-FHE and MultiParty Computation (MPC) systems. Our method generates a unified key structure, enabling constant ciphertext size and constant execution time for encrypted computations, regardless of the number of participants involved. This approach addresses critical limitations such as ciphertext size expansion,...

Authenticated encryption (AE) is a cryptographic mechanism that allows communicating parties to protect the confidentiality and integrity of messages exchanged over a public channel, provided they share a secret key. In this work, we present new AE schemes leveraging the SHA-3 standard functions SHAKE128 and SHAKE256, offering 128 and 256 bits of security strength, respectively, and their “Turbo” counterparts. They support session-based communication, where a ciphertext authenticates the...

In Africacrypt 2022, Gupta \etal introduced a 64-bit lightweight \mds matrix-based \spn-like block cipher designed to encrypt data in a single clock cycle with minimal implementation cost, particularly when unrolled. While various attack models were discussed, the security of the cipher in the related-key setting was not addressed. In this work, we bridge this gap by conducting a security analysis of the cipher under related-key attacks using \milp(Mixed Integer Linear Programming)-based...

Oblivious Pseudorandom Functions (OPRFs) allow a client to evaluate a pseudorandom function (PRF) on her secret input based on a key that is held by a server. In the process, the client only learns the PRF output but not the key, while the server neither learns the input nor the output of the client. The arguably most popular OPRF is due to Naor, Pinkas and Reingold (Eurocrypt 2009). It is based on an Oblivious Exponentiation by the server, with passive security under the Decisional...

We present $\textit{Rhombus}$, a new secure matrix-vector multiplication (MVM) protocol in the semi-honest two-party setting, which is able to be seamlessly integrated into existing privacy-preserving machine learning (PPML) frameworks and serve as the basis of secure computation in linear layers. $\textit{Rhombus}$ adopts RLWE-based homomorphic encryption (HE) with coefficient encoding, which allows messages to be chosen from not only a field $\mathbb{F}_p$ but also a ring...

Folding schemes enable prover-efficient incrementally verifiable computation (IVC), where a proof is generated step-by-step, resulting in a space-efficient prover that naturally supports continuations. These attributes make them a promising choice for proving long-running machine executions (popularly, "zkVMs"). A major problem is designing an efficient read-write memory. Another challenge is overheads incurred by unused machine instructions when incrementally proving a program execution...

Recently, a more efficient attack on the initial tropical Stickel protocol has been proposed, different from the previously known Kotov-Ushakov attack, yet equally guaranteed to succeed. Given that the Stickel protocol can be implemented in various ways, such as utilizing platforms beyond the tropical semiring or employing alternative commutative matrix ``classes'' instead of polynomials, we firstly explore the generalizability of this new attack across different implementations of the...

We introduce a powerful attack, termed the bit-fixing correlation attack, on Goldreich's pseudorandom generators (PRGs), specifically focusing on those based on the $\mathsf{XOR}\text{-}\mathsf{THR}$ predicate. By exploiting the bit-fixing correlation property, we derive correlation equations with high bias by fixing certain bits. Utilizing two solvers to handle these high-bias correlation equations, we present inverse attacks on $\mathsf{XOR}\text{-}\mathsf{THR}$ based PRGs within the...

The MPC-in-the-Head framework has been pro- posed as a solution for Non-Interactive Zero-Knowledge Arguments of Knowledge (NIZKAoK) due to its efficient proof generation. However, most existing NIZKAoK constructions using this approach require multiple MPC evaluations to achieve negligible soundness error, resulting in proof size and time that are asymptotically at least λ times the size of the circuit of the NP relation. In this paper, we propose a novel method to eliminate the need for...

This paper presents a Generalized BFV (GBFV) fully homomorphic encryption scheme that encrypts plaintext spaces of the form $\mathbb{Z}[x]/(\Phi_m(x), t(x))$ with $\Phi_m(x)$ the $m$-th cyclotomic polynomial and $t(x)$ an arbitrary polynomial. GBFV encompasses both BFV where $t(x) = p$ is a constant, and the CLPX scheme (CT-RSA 2018) where $m = 2^k$ and $t(x) = x-b$ is a linear polynomial. The latter can encrypt a single huge integer modulo $\Phi_m(b)$, has much lower noise growth than BFV...

We develop and implement AlgoROM, a tool to systematically analyze the security of a wide class of symmetric primitives in idealized models of computation. The schemes that we consider are those that can be expressed over an alphabet consisting of XOR and function symbols for hash functions, permutations, or block ciphers. We implement our framework in OCaml and apply it to a number of prominent constructions, which include the Luby–Rackoff (LR), key-alternating Feistel (KAF), and...

We examine the problem of finding small solutions to systems of modular multivariate polynomials. While the case of univariate polynomials has been well understood since Coppersmith's original 1996 work, multivariate systems typically rely on carefully crafted shift polynomials and significant manual analysis of the resulting Coppersmith lattice. In this work, we develop several algorithms that make such hand-crafted strategies obsolete. We first use the theory of Gröbner bases to develop an...

We propose a new cryptographic primitive called "batched identity-based encryption" (Batched IBE) and its thresholdized version. The new primitive allows encrypting messages with specific identities and batch labels, where the latter can represent, for example, a block number on a blockchain. Given an arbitrary subset of identities for a particular batch, our primitive enables efficient issuance of a single decryption key that can be used to decrypt all ciphertexts having identities that are...

Artificial Intelligence (AI) has steadily improved across a wide range of tasks, and a significant breakthrough towards general intelligence was achieved with the rise of generative deep models, which have garnered worldwide attention. However, the development and deployment of AI are almost entirely controlled by a few powerful organizations and individuals who are racing to create Artificial General Intelligence (AGI). These centralized entities make decisions with little public oversight,...

Recently, deep learning-based side-channel analysis (DLSCA) has emerged as a serious threat against cryptographic implementations. These methods can efficiently break implementations protected with various countermeasures while needing limited manual intervention. To effectively protect implementation, it is therefore crucial to be able to interpret \textbf{how} these models are defeating countermeasures. Several works have attempted to gain a better understanding of the mechanics of these...

SQIsign is a well-known post-quantum signature scheme due to its small combined signature and public-key size. However, SQIsign suffers from notably long signing times, and verification times are not short either. To improve this, recent research has explored both one-dimensional and two-dimensional variants of SQIsign, each with distinct characteristics. In particular, SQIsign2D's efficient signing and verification times have made it a focal point of recent research. However, the absence of...

Peer-to-peer energy trading markets enable users to exchange electricity, directly offering them increased financial benefits. However, discrepancies often arise between the electricity volumes committed to in trading auctions and the volumes actually consumed or injected. Solutions designed to address this issue often require access to sensitive information that should be kept private. This paper presents a novel, fully privacy-preserving billing protocol designed to protect users'...

In modern business to customer interactions, handling private or confidential data is essential. Private Function Evaluation (PFE) protocols ensure the privacy of both the customers' input data and the business' function evaluated on it which is often sensitive intellectual property (IP). However, fully hiding the function in PFE results in high performance overhead. Semi-Private Function Evaluation (SPFE) is a generalization of PFE to only partially hide the function, whereas specific...

A Private Set Union (PSU) allows two parties having sets $X$ and $Y$ to securely compute the union $X \cup Y$ while revealing no additional information. Recently, there have been proposed so-called shuffle-based PSU protocols due to Garimella et. al. (PKC'21) and Jia et. al. (USENIX'22). Except a few base oblivious transfers, those proposals are fully based on symmetric key primitives and hence enjoy quite low computation costs. However, they commonly have drawbacks on large communication...

Tweakable enciphering modes (TEMs) provide security in a variety of storage and space-critical applications like disk and file-based encryption, and packet-based communication protocols, among others. XCB-AES (known as XCBv2) is specified in the IEEE 1619.2 standard for encryption of sector-oriented storage media and it comes with a proof of security for block-aligned input messages. In this work, we demonstrate the $\textit{first}$ and most efficient plaintext recovery attack on...

This work describes a digital signature scheme constructed from a zero-knowledge proof of knowledge of a pre-image of the Rescue Prime Optimized (RPO) permutation. The proof of knowledge is constructed with the DEEP-ALI interactive oracle proof combined with the Ben-Sasson--Chiesa--Spooner (BCS) transformation in the random oracle model. The EUF-CMA security of the resulting signature scheme is established from the UC-friendly security properties of the BCS transformation and the pre-image...

As the industry prepares for the transition to post-quantum secure public key cryptographic algorithms, vulnerability analysis of their implementations is gaining importance. A theoretically secure cryptographic algorithm should also be able to withstand the challenges of physical attacks in real-world environments. MAYO is a candidate in the ongoing first round of the NIST post-quantum standardization process for selecting additional digital signature schemes. This paper demonstrates three...

Masking is a sound countermeasure to protect against differential power analysis. Since the work by Balasch et al. in ASIACRYPT 2012, inner product masking has been explored as an alternative to the well known Boolean masking. In CARDIS 2017, Poussier et al. showed that inner product masking achieves higher-order security versus Boolean masking, for the same shared size, in the bit-probing model. Wang et al. in TCHES 2020 verified the inner product masking's security order amplification in...

HEonGPU is a high-performance library designed to optimize Fully Homomorphic Encryption (FHE) operations on Graphics Processing Unit (GPU). By leveraging the parallel processing capac- ity of GPUs, HEonGPU significantly reduces the computational overhead typically associated with FHE by executing complex operation concurrently. This allows for faster execution of homomorphic computations on encrypted data, enabling real-time applications in privacy-preserving machine learn- ing and secure...

State-of-the-art database implementations offer a wide range of functionalities and impressive performances while supporting highly concurrent loads. However they all rely on the server knowing the content of the database, which raises issues when sensitive information is being stored on a server that cannot be trusted. Encrypting documents before sending them to a remote server solves the confidentiality issue at the cost of loosing the keyword search functionality. Cryptographic primitives...