A collection of hardware Trojans (HTs) automatically generated by Large Language Models (GPT-4, Gemini-1.5-pro, and LLaMA3) targeting SRAM, AES-128, and UART designs. These benchmarks were created using the GHOST framework for automated HT insertion
Dataset of Hardware-Trojan (HT) based Covert Channels (HT-CCs) for the IEEE 802.11 (WiFi) standard.
A machine learning classifier for detecting hardware Trojans using ring oscillator frequency variations to analyze power consumption anomalies.
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