Peicheng Tang
Papers
2
Total Citations
21
H-Index
2
About
Peicheng Tang is a leading researcher at the intersection of cybersecurity, robotics, and adversarial machine learning. His work exposes critical vulnerabilities in autonomous systems, most notably through his landmark study on the Raven-II surgical robot, which demonstrated how smart malware could exploit leaked control data to compromise robotic applications—a chilling warning for the future of medical automation. This highly cited 2019 paper (16 citations) remains a foundational reference in the field of cyber-physical system security. Tang further explores the dark side of AI in his 2021 work on machine learning in the hands of a malicious adversary, arguing that adversarial attacks on data-driven security systems are not a distant threat but an imminent reality. By bridging the gap between theoretical attack vectors and real-world robotic platforms, Tang’s research has profound implications for the safe deployment of AI in critical infrastructure. His contributions are essential reading for anyone studying the security of intelligent, autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2