XtrAIn shifts occlusion from input space to parameter space along the training trajectory to produce cleaner feature attributions than standard methods.
arXiv preprint arXiv:2006.00093 (2020)
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Compares domain-aware, case-based, and feature attribution explainability methods for gate-level hardware Trojan detection on the Trust-Hub benchmark dataset.
citing papers explorer
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XtrAIn: Training-Guided Occlusion for Feature Attribution
XtrAIn shifts occlusion from input space to parameter space along the training trajectory to produce cleaner feature attributions than standard methods.
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Explainability Methods for Hardware Trojan Detection: A Systematic Comparison
Compares domain-aware, case-based, and feature attribution explainability methods for gate-level hardware Trojan detection on the Trust-Hub benchmark dataset.