~ similar to 2604.20793v2· 20 results
The paper establishes the first machine-checked composition theorems for arithmetic masking over prime fields, demonstrating that fresh random masking between pipeline stages completely erases securit…
The paper provides the first machine-checked universal proof, using ring theory, that value-independence implies identical marginal distributions for arithmetic masking, thereby extending the verifica…
This paper proves that the per-observation leakage bound for deep, multi-stage masked Number Theoretic Transform (NTT) pipelines remains constant and low ($2/q$), regardless of the pipeline's depth ($…
The paper introduces a four-stage structural dependency analysis hierarchy that enables scalable, sound first-order masking verification for large, production-level post-quantum cryptographic accelera…
The paper establishes a universal, machine-checked 1-Bit Barrier for the internal wire map of masked Barrett reduction, providing a strong side-channel leakage bound for post-quantum cryptography.
The paper analyzes the security of a partially masked hardware accelerator for Number Theoretic Transform (NTT) in PQC, demonstrating that the claimed security margins are significantly overestimated…
QCIVET introduces a novel contract-based framework to ensure the integrity of hybrid quantum-classical pipelines by verifying both the structure (syntactic) and the behavior (semantic) of quantum stag…
The paper proposes MaskedHLSVerif, a novel formal verification toolflow that accurately verifies the Power Side Channel Attack (PSCA) security of masked hardware generated by High Level Synthesis (HLS…
Jianming Tong, Jingtian Dang, Simon Langowski, Tianhao Huang +5 more
The paper introduces MORPH, a framework that reformulates Zero-Knowledge Proof (ZKP) computations to efficiently utilize AI ASICs like TPUs, achieving up to 10x higher throughput on NTT.
The paper proposes using deep learning to empirically test the indistinguishability of various post-quantum and hybrid cryptographic schemes, finding that no tested combination showed a significant ad…
This paper provides an explicit cost analysis of Toom-4 multiplication specifically tailored for the incomplete Number Theoretic Transform (NTT) framework, offering a concrete cost model for hybrid la…
The paper analyzes the security limits of verifiable decapsulation tests for Key Encapsulation Mechanisms (KEMs), establishing that the list-hit event is the primary black-box obstruction and deriving…
Xi Yang, Taolue Chen, Yuqi Chen, Fu Song +2 more
This paper introduces a novel algorithm, CiSC, to efficiently and optimally synthesize circuit implementations of linear codes for hardware security, significantly outperforming existing state-of-the-…
Jianan Mu, Ge Yu, Zhaoxuan Kan, Song Bian +5 more
This paper evaluates the vulnerability of Fully Homomorphic Encryption (FHE) computation to silent data corruption (SDC) using large-scale fault-injection experiments and theoretical analysis.
Fengxia Liu, Zixian Gong, Kun Tian, Yi Zhang +2 more
The paper introduces a unified framework for Quantum Fully Homomorphic Encryption (QFHE) that achieves exponential efficiency improvements by integrating a novel modular arithmetic program (MAP) tailo…
The paper proposes a novel formal verification method for proving the probing security of masked cryptosystems by connecting the noninterference property to conditional independence and utilizing prob…
The paper presents Broken Quantum, a comprehensive formal security audit that identifies 547 security vulnerabilities across 45 open-source quantum computing simulators, revealing critical flaws in me…
The paper introduces 'quantum-safe,' a Python library that addresses the remaining 'production gap' in post-quantum cryptography (PQC) by providing robust, easy-to-use hybrid implementations and compr…
The paper introduces a lightweight, sampling-based cryptographic protocol for verifiable AI inference that drastically reduces proving overhead from minutes to milliseconds by leveraging statistical p…
The paper proposes ZK-Flex, a flexible software-hardware co-designed framework that significantly accelerates Zero-Knowledge Proof (ZKP) generation by efficiently handling diverse polynomial and ellip…