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The increasing deployment of unmanned aerial vehicles (UAVs) in communication, surveillance, and other mission-critical applications has created a growing requirement for efficient mechanisms to preserve the integrity of exchanged data. UAV platforms may operate under computational, memory, energy, and communication constraints, making lightweight cryptographic techniques an important considerati…
The cosine function is widely used in machine-learning applications, but evaluating it on secret-shared data is difficult. Conventional approaches use polynomial approximations or lookup tables, whose costs grow substantially over large input domains. More recent protocols first reduce the private input modulo the cosine period, but securely performing this modular reduction also incurs significa…
State-of-the-art lattice-based cryptography requires a power-of-two cyclotomic field that limits the attainable security levels, or a module structure for which the cost grows quadratically in the module rank. Radical rings were recently proposed as a solution in the context of Learning With Errors (LWE) based Key Encapsulation Mechanisms (KEMs) with heuristic hardness arguments for the Ring-LWE …
The post-quantum migration for key agreements and signatures being well underway, the focus naturally shifts to other properties and primitives that still lack efficient solutions. One such area is that of privacy-enhanced primitives, with a growing number of post-quantum constructions. Among the most fundamental are group signatures, which represent an important milestone of anonymity and accoun…
Bootstrapping is the bottleneck of BGV/BFV homomorphic encryption, and for large plaintext primes $p$ its cost is dominated by digit extraction. Recently, this stage has been accelerated along two separate routes. The first lowers the degree of the digit-extraction polynomial: the bounded-support construction of Ma et al. (Eurocrypt'24) confines its support, and the order-four filter of Xiong et …
The growing use of machine learning (ML) has raised concerns that an ML model may reveal private information about an individual who has contributed to the training dataset. To prevent leakage of sensitive data, we consider using differentially-private (DP), synthetic training data instead of real training data to train an ML model. A key desirable property of synthetic data is its ability to pre…
Private aggregation schemes enable aggregation of sensitive data across clients without leaking any individual client's input. Their applications include privacy-preserving federated learning, private heavy hitters, and anonymous systems. Many private aggregation schemes assume two non-colluding servers and aim to guarantee privacy even when one server is malicious, i.e., the malicious server lea…
We present the first theoretical convergence analysis of machine learning training under fully homomorphic encryption (FHE), combined with a differentially private (DP) training algorithm tailored to encrypted computation. Our approach improves computational efficiency over standard differentially private gradient descent (DP-GD) while achieving comparable utility. In particular, we prove converg…
Freedom of information laws (informally known as Sunshine Laws), such as the US Federal Freedom of Information Act, provide legal pathways for members of the public to compel governments to produce internal documentation. These laws have become a powerful tool for government accountability, allowing journalists and activists to uncover malfeasance and advocate for change. However, because complia…
We investigate the use of bit-level Soft Analytical Side-Channel Attacks (SASCA) to recover secret inputs of the SHA-256 hash function, and secret keys of HMAC-SHA-256, using Sentential Decision Diagrams to overcome the computational challenge posed to classical Belief Propagation by multiple-word modular addition. Our attack on HMAC requires no control nor knowledge of the input, and exploits it…
Marcus, Spielman, and Srivastava [MSS15] established the existence of Kadison--Singer partitions. We provide polynomial-time algorithms for the Kadison--Singer problem. For Hermitian matrices $A_1,\ldots,A_m\in\mathbb C^{n\times n}$ of rank at most one, we give two algorithms that find signs $\sigma\in\{\pm1\}^m$ satisfying $\|\sum_i \sigma_iA_i\|\le C\|\sum_i A_i^2\|^{1/2}$. The deterministic al…
The Fujisaki–Okamoto (FO) transform protects Kyber-KEM against chosen- ciphertext attacks and is based on a ciphertext comparison step. This comparison is usually treated as a single atomic check. However, in every mainstream implementation it is a short pipeline of independently faultable stages. It comprises a byte-wise mismatch accumulation, a two’s-complement Booleanisation, and a conditional…
Distributed certification is a method for monitoring the correctness of a distributed system. The model consists of a centralized prover in addition to multiple verifiers lying on the nodes of a communication network, where the goal is to assert that the network satisfies a desired property. In doing so, the prover generates certificates for each verifier; the verifiers can then communicate in a …
Succinct polynomial commitment schemes are a key building block in succinct non-interactive arguments of knowledge (SNARKs). Existing succinct lattice-based polynomial commitment schemes take a "split-and-fold" strategy making use of homomorphism to compress proof size to $O(\text{polylog} N)$ for polynomials of size $N$. Prior works either (1) incur superlogarithmic verifier work (e.g., $O(\sqrt…
The practicality of post-quantum cryptography (PQC) on IoT devices depends on both operation cycle counts and communication costs from public values (public keys, ciphertexts, and signatures). The DSA HAETAE and the KEM SMAUG-T, both selected in the KpqC competition, provide smaller public values than ML-DSA and ML-KEM; however, the lack of platform-specific optimization leaves their operation cy…
Systems for private group-by aggregation (e.g., computing histograms, min/max values, or averages) let a confidential virtual machine (CVM) generate statistics from streaming user data. A particular challenge in such systems is ensuring that the CVM's memory-access patterns do not reveal (too much) private information to the untrusted host. While it is possible to rely on oblivious RAM (ORAM), do…
Streamlined NTRU Prime (sntrup761) is a lattice-based key encapsulation mechanism that, although not a NIST standard, remains widely deployed in critical internet infrastructure. It is the post-quantum key-exchange default in OpenSSH, standardized in RFC 9941, and used well beyond SSH, in Red Hat Enterprise Linux, the liboqs library, PQConnect, and commercial VPNs. Its decapsulation performs a po…
We construct the first witness encryption for NP in the generic group model from succinct non-interactive arguments (SNARGs) for NP. Our construction applies to any SNARG with subexponential soundness and polylogarithmic online verification time after input preprocessing. Central to our result is the first Karp-Levin reduction from satisfiability for circuits of size $\mathrm{polylog}(\lambda)$ t…
We investigate an algebraic approach to the Syndrome Decoding Problem, based on a reformulation of the Hamming weight constraint and its integration with the Information Set Decoding paradigm. We begin with a systematic analysis of the Hamming variety, deriving its defining equations in terms of elementary symmetric functions. Since these equations may have high degree, we exploit convolution ide…
At EUROCRYPT 2025, Carlini {\em et al.} proposed a breakthrough in the cryptanalytic extraction on hard‑label (S1) deep neural networks (DNNs), demonstrating polynomial-time signature and sign recovery. However, Carlini {\em et al.}'s sign‑recovery method ({which we call \em Future Toggle}) suffers only a marginal advantage over random guessing, producing high‑confidence wrong sign predictions in…
EIP-7702, live on Ethereum since the Pectra upgrade, lets externally owned accounts delegate their execution to arbitrary contract code with a single signature. The consequences are measurable: 63% of observed delegations point to malicious contracts, with $2.36M in confirmed losses, and ecosystem guidance already warns about cross-chain replay and front-run initialization. What is missing is a f…
There is a growing literature on differential privacy (DP) in multiparty protocols, enabling use in distributed settings and reduced trust assumptions. A largely overlooked aspect of such protocols is the extent to which an adversary can undermine the DP guarantees by making the protocol abort. Another is the DP properties of the honest parties' outputs. We initiate the study of both these issues…
Evaluation keys represent a primary memory and initialization bottleneck in matrix-native fully homomorphic encryption (FHE). In the Gentry–Lee (GL) framework, each Trace product yields a four component ciphertext whose BigSwitch procedure requires two extended-ring keys, dominated by a massive product-secret key (sXsY → sX). We present Trace-Factored BigSwitch (TFB), which structurally eliminate…
Generic divisor-addition formulas use little arithmetic workspace but fail on exceptional inputs. We prove a randomized reduction that makes such formulas usable in quantum phase computation. Over any finite abelian group of odd order, two independent public group seeds make each child pair in a complete balanced addition tree independent and uniform for every fixed input. A bound on the density …
List decoding Reed–Solomon codes is a central problem in coding theory and, together with mutual correlated agreement (MCA), underpins the soundness of many succinct cryptographic proofs. In this work, we give precise quantitative bounds on Reed–Solomon list decoding and MCA up to capacity, provide deterministic decoding algorithms that remain efficient over cryptographically large fields, and sp…
Bounded Distance Decoding (BDD) is a fundamental primitive in both code- and lattice-based post-quantum cryptography. Prior work of Regev (FOCS~2002) and Brakerski, Kirshanova, Stehl\'e and Wen (PKC~2018) connected lattice BDD and Learning With Errors (LWE) to the Extrapolated Dihedral Coset Problem (EDCP), but these reductions rely heavily on geometric structure and do not naturally extend to co…
In this work, we introduce Lemur+, a compact post-quantum synchronized multi-signature scheme based on standard lattice assumptions (namely, Module LWE and Module SIS). Lemur+ builds on Lemur (CCS 2026) and targets large-scale, long-term distributed applications such as blockchain consensus while supporting non-interactive aggregation. Lemur+ maintains an almost constant signature size of about 5…
Based on techniques discovered in the better.codes autoresearch project, we show that Reed-Solomon codes of rate $\rho$ and block length $n$ over a field of sufficiently large characteristic, have $C\cdot n$ list size bound when requiring fractional agreement $\alpha$ with a received word; where $C,\alpha$ are constants depending only on $\rho$ and $\alpha0$ with an unspecified constant exponent …
DuX and YuX are recent block cipher families designed for efficient evaluation under fully homomorphic encryption. Both keep sixteen words of a large finite field in four blocks, with a low-degree block-wise S-box and a circulant linear layer. We show that, in the chosen-ciphertext model, the algebraic degree of their decryption functions grows far more slowly than the designers' encryption-side …
Private Information Retrieval (PIR) allows a client to retrieve an entry from a public database without revealing the entry of interest. Standard PIR, however, requires the server to perform expensive computation that is linear in the database size per client query. To reduce this online cost, Online-Offline PIR (OO-PIR) was proposed, allowing the client to precompute a query-independent hint tab…
The rapid advancement of Zero-Knowledge Proofs (ZKP) has motivated the design of ZK-friendly hash functions. A relatively new design strategy for ZK-friendly hash functions is using the composition of small look-up tables (LUTs) to build a nonlinear transform (called \bars layer) over a large prime field $\Fp$. This not only improves the plain performance but also enhances its security against al…
Folding protocols cross public-randomness boundaries: input-dependent information must be fixed before a challenge is known, while the required output may depend on it. We ask how much state must be retained after accounting for information already available at the boundary. With unrestricted prechallenge preprocessing and linear postchallenge readout, a retained representation is feasible exactl…
High-arity folding combines several relation instances in one step, but a direct quadratic expansion exposes quadratically many mixed terms. Scaled Cauchy challenges admit a carrier: a polynomial representing the mixed contribution with linearly many field coordinates [58]. CauchyFold turns this representation into a committed lattice folding protocol. Two algorithms construct this carrier withou…
The meet-in-the-middle (MITM) attack framework is one of the most powerful cryptanalytic techniques with broad influence to preimage, key recovery, and collision attacks. In this paper, we present two generic techniques. First, we observe that the constant space in MITM attacks is an exploitable source of degrees of freedom: its value-independence enables MITM-style partition and acceleration of …
Ghoshal, Ishai, Jain and Sun (GIJS) recently gave the first distinguisher for Classic McEliece public keys that is cheaper than generic decoding, at an estimated $2^{114}$ to $2^{124}$ bit operations for the five NIST candidate parameter sets, and have since extended it to a key-recovery algorithm. The distinguisher is one large sparse linear-algebra computation. We show that this computation alr…
Lattice-based polynomial commitment schemes (PCSs) promise post-quantum SNARKs with two properties that elliptic curves provide and hash-based schemes, today's deployed post-quantum default, do not: concretely small proofs and commitment time proportional to the number of nonzero entries in the committed polynomial rather than its length. The second property is essential to Twist and Shout (CRYPT…
The Signal protocol is a prominent messaging protocol that secures communication for billions of users. It powers WhatsApp, the most widely used messaging application worldwide, and the Signal app, popular among privacy-conscious users. Extensive research in the computational and Dolev-Yao settings provides strong formal security guarantees for the protocol itself. However, a gap remains between …
We study the existence of bounded-degree supersingular isogenies under prescribed degree filters and exact torsion constraints. In characteristic $p$, a second-moment argument using the Brandt trace formula gives asymptotically positive coverage of independent uniform endpoints at $D=\lfloor c\sqrt{p}\rfloor$, for every fixed $c>0$ and every endpoint-independent binary filter retaining $\Omega(D^…
Solving multivariate polynomial systems is a fundamental problem in cryptanalysis, with increasing relevance in algebraic attacks on arithmetization-oriented (AO) primitives. Current approaches include Gröbner bases and the Sylvester resultant. However, Gröbner basis methods typically rely on FGLM to change the order, which requires a zero-dimensional ideal, whereas the Sylvester resultant elimin…
Rounding error plays a key role in approximate homomorphic encryption (HE), as it determines the noise level and affects the achievable precision. While rounding is typically performed coordinate-wise in the coefficient basis, an alternative is to perform lattice-based rounding in the canonical embedding. These two approaches coincide for power-of-two (PoT) cyclotomics, but can differ for non-PoT…