ADVERSARIAL: And-Inverter Graph-Assisted Hardware Trojan Detection at Scale

Modern System-on-Chip SoCs often contain hundreds of millions to tens of billions of gates, making existing Hardware Trojan HT detection methods impractical due to their immense scale. The proposed approach incorporates symbolically enabled learning by modeling flattened gate-level netlists as...

SAND: A Self-Supervised and Adaptive NAS-Driven Framework for Hardware Trojan Detection

The globalized semiconductor supply chain has made Hardware Trojans HT a significant security threat to embedded systems, necessitating the design of efficient and adaptable detection mechanisms. Despite promising machine learning-based HT detection techniques in the literature, they suffer from ...