Abstract

The emergence of artificial intelligence (AI) has significantly impacted security research. On one hand, AI can enhance traditional defenses, making them more intelligent and efficient. On the other hand, intrinsic security issues of AI—such as adversarial examples, backdoors, large model "jailbreaking," hallucinations, and privacy concerns—have raised serious apprehensions regarding its deployment. This talk will address both aspects: it will focus on leveraging AI to advance software security research and also examine the security vulnerabilities of AI systems from a software adversarial perspective.

About the speaker

Dr. Kai Chen is a Professor at the Institute of Information Engineering, Chinese Academy of Sciences (IIE, CAS), and a Professor at the University of Chinese Academy of Sciences (UCAS). He serves as Director of the Center for Frontier Innovation and Integration of Science and Education, and Deputy Director of the State Key Laboratory of Cybersecurity Defense. He is a recipient of the National High-Level Talent Program and has been honored with numerous awards, including Global Youth Leader at the World Internet Conference, CAS Young Scientist Award, CCF-IEEE CS Young Computer Scientist Award, Beijing Science and Technology Award – Outstanding Youth Zhongguancun Prize, NASAC Young Software Innovator Award, Beijing Outstanding Youth Science Fund, and BAAI Young Scientist Fellowship. He has published over 150 papers in top-tier venues such as IEEE S&P, USENIX Security, ACM CCS, NDSS, and ICSE.