Detect and Analyze Trojan attacks on deep neural networks that are designed to be difficult to detect.
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Updated
Jul 25, 2024 - Jupyter Notebook
Detect and Analyze Trojan attacks on deep neural networks that are designed to be difficult to detect.
Solution for the Trojan Detection Challenge (TDC2022 - https://trojandetection.ai) as part of NeurIPS 2022
Some generic probabilistic methodologies to identify hardware trojans in arbitrary hardware designs
EDR-style Trojan detection and response system with behavior tracking, risk scoring, human-in-the-loop decisioning, quarantine simulation, MITRE ATT&CK mapping, and incident reporting.
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