PEARL: An Adaptive and Explainable Hardware Trojan Detection Using Open Source and Enterprise Large Language Models — Kundu et al. (2025)

1 More Paper · Oct 7, 2026 · 1h 41m · transcript

The Integrated Circuit (IC) supply chain risk allows attackers to implant hardware Trojans (HT) in various stages of chip production. To counter this, different machine learning (ML) and deep learning (DL)-based methods have been developed to detect HTs. However, these methods require massive amounts of high-quality labeled data for effective training, extended training times for accurate HT detection, limited generalization to novel or unseen HTs, and insufficient capability to explain the detected HTs. Recent studies have started exploring the potential of Large language models (LLMs) for…