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most citedHarmChip: Evaluating Hardware Security Centric LLM Safety via Jailbreak Benchmarking

1 citations · 2 across the 14 of their papers we have counts for

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cs.CR20261 cited

HarmChip: Evaluating Hardware Security Centric LLM Safety via Jailbreak Benchmarking

Zeng Wang, Minghao Shao, Weimin Fu +6

The integration of large language models (LLMs) into electronic design automation (EDA) workflows has introduced powerful capabilities for RTL generation, verification, and design…

cs.CR2026

LLM4PQC - Accurate and Efficient Synthesis of PQC Cores by Feedback-Driven LLMs

Buddhi Perera, Zeng Wang, Weihua Xiao +4

The design of post-quantum cryptography (PQC) hardware is a complex and hierarchical process with many challenges. A primary bottleneck is the conversion of PQC reference codes fro…

cs.CR2025

TrojanLoC: LLM-based Framework for RTL Trojan Localization

Weihua Xiao, Zeng Wang, Minghao Shao +6

Hardware Trojans (HT s) are a persistent threat to integrated circuits, especially when inserted at the register-transfer level (RTL). Existing methods typically first convert the…

cs.CR2025

LockForge: Automating Paper-to-Code for Logic Locking with Multi-Agent Reasoning LLMs

Akashdeep Saha, Zeng Wang, Prithwish Basu Roy +3

Despite rapid progress in logic locking (LL), reproducibility remains a challenge as codes are rarely made public. We present LockForge, a first-of-its-kind, multi-agent large lang…

cs.CR2025

NetDeTox: Adversarial and Efficient Evasion of Hardware-Security GNNs via RL-LLM Orchestration

Zeng Wang, Minghao Shao, Akashdeep Saha +4

Graph neural networks (GNNs) have shown promise in hardware security by learning structural motifs from netlist graphs. However, this reliance on motifs makes GNNs vulnerable to ad…

cs.CR2025

Targeted Wearout Attacks in Microprocessor Cores

Joshua Mashburn, Johann Knechtel, Florian Klemme +3

Negative-Bias Temperature Instability is a dominant aging mechanism in nanoscale CMOS circuits such as microprocessors. With this aging mechanism, the rate of device aging is depen…