Trojan Detection

Trojan detection focuses on identifying malicious code or modifications hidden within software or hardware systems, aiming to mitigate security risks posed by these stealthy attacks. Current research emphasizes the development of robust detection methods using diverse techniques, including large language models (LLMs) for software Trojans, reinforcement learning for hardware Trojans, and analysis of attention mechanisms and activation patterns in deep neural networks. The ability to effectively detect and mitigate Trojans is crucial for ensuring the security and reliability of increasingly complex systems across various domains, from integrated circuits to large language models.