Adversarially Robust Hardware Trojan Detection with Synthetic Data Augmentation
This paper evaluates the robustness of the Support Vector Machine (SVM) classifier, a leading algorithm in state-of-the-art HT detection frameworks, under gradient-based adversarial attacks, and highlights the need to reframe hardware security evaluations beyond nominal accuracy toward adversarial robustness.