~ similar to 2604.11148v1· 20 results
This paper evaluates the security of Universal Circuits (UCs) for hardware obfuscation, demonstrating that they are effective against both oracle-guided and oracle-less attacks.
CIPHR introduces a novel, fine-grain hardware redaction methodology inspired by cryptographic indistinguishability to protect intellectual property against structural attacks that exploit existing art…
This paper introduces an agentic LLM-driven framework that automates the generation of functionally correct and security-relevant hardware netlist obfuscation for protecting intellectual property.
The paper introduces a novel threat model, approximate obfuscation, and proposes a framework to detect IP piracy in approximate circuits by comparing their statistical error profiles.
Kolja Dorschel, René Walendy, Lukas Plätz, Thorben Moos +2 more
The paper analyzes existing hardware Trojan datasets to demonstrate that standard cell libraries can be systematically exploited to create visually undetectable, stealthy hardware Trojans, exemplified…
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-…
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.
The paper introduces a novel hardware aging attack that exploits the commutative properties of addition to induce unbalanced stress on AI accelerator transistors, significantly degrading model accurac…
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…
The paper proposes 'mimetic deception,' a novel IP camouflaging technique that structurally disguises a functional IP as a different appearance IP, thereby thwarting both structural reverse engineerin…
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…
Zehra Karadağ, Simon Klix, René Walendy, Felix Hahn +4 more
This paper systematizes two decades of hardware reverse engineering research by analyzing 187 publications, identifying key technical methods and recommending improvements for reproducibility, standar…
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…
LIPPEN introduces a novel hardware-software co-design that provides strong, zero-overhead pointer encryption for enhanced memory safety, achieving comprehensive pointer integrity and confidentiality.
Zeng Wang, Minghao Shao, Weimin Fu, Prithwish Basu Roy +5 more
The paper introduces HarmChip, a novel benchmark to evaluate LLM vulnerability to domain-specific hardware security threats, revealing that current safety guardrails fail against semantically disguise…
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 presents SCP, a cache partitioning design that combines strict eviction isolation with write-shared coherence to mitigate eviction-based cache side channels.
The paper develops a quantitative scoring system, CRESS, to consistently and comparably rate the severity of novel hardware reverse engineering attack scenarios, proving it is more expressive than ind…
This survey reviews hardware-rooted trust mechanisms, such as PUFs and TPMs, demonstrating that hardware-based solutions are superior to software-only methods for ensuring secure authentication and AI…
Voktho Das, M Zafir Sadik Khan, Jafar Vafaei, Kimia Azar +1 more
The paper proposes a hybrid ASIC+eFPGA architecture to enhance the security and resilience of edge LLM inference accelerators against both runtime and supply-chain attacks.