~ similar to 2604.15249v2· 20 results
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…
The paper provides machine-checked proofs demonstrating that fresh per-stage arithmetic masking ensures pipeline-level security for Number Theoretic Transform (NTT) accelerators used in Post-Quantum C…
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…
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 ($…
This paper provides the first systematic, isolated benchmarks of NIST-standardized post-quantum cryptography (ML-KEM and ML-DSA) on the highly constrained ARM Cortex-M0+ processor, showing performance…
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…
Ejaz Ahmed, Boshuai Ye, Syed Hamza Shah, Muhammad Azeem Akbar +1 more
The paper proposes a novel three-layer metric framework to comprehensively evaluate quantum circuit integrity by combining structural, operational, and interaction-level analyses, demonstrating that n…
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 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 identifies a universal, statistically predictable distribution (Mandelbrot) governing LLM outputs, enabling a highly efficient, model-agnostic scoring primitive for provenance and quality as…
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 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 presents a highly optimized, low-stack implementation of the HAETAE signature scheme, reducing peak stack usage significantly to enable its use on severely memory-constrained microcontroller…
This review analyzes the dual impact of integrating Large Language Models (LLMs) into hardware design, detailing both their transformative potential in EDA and the critical security vulnerabilities th…
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…
This paper presents a novel data-free Membership Inference Attack (MIA) that uses gradient inversion on Standard Cell Library Layouts (SCLLs) to reconstruct sensitive hardware images from intercepted…
This survey reviews the integration of AI and LLMs into hardware security verification, demonstrating its potential to automate complex stages while stressing the necessity of grounding AI outputs in…
This paper surveys the use of hardware emulation for security verification in System-on-Chip (SoC) design, positioning emulation as a critical, high-fidelity pre-silicon assurance technology.
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 introduces PoSME, a cryptographic primitive that enforces strict sequential memory execution by chaining data-dependent writes, providing verifiable delay and authorship attestation.