Qi Li

Qi Li is an Associate Professor in the Department of Computer Science and Technology at Tsinghua University. He holds a Ph.D. in Computer Science from Tsinghua University and is affiliated with the Institute for Network Sciences and Cyberspace. His research interests include network and system security, particularly in Internet security, mobile security, and big data security. He has worked at ETH Zurich, the University of Texas at San Antonio, The Chinese University of Hong Kong, the Chinese Academy of Sciences, and Intel. He leads the Internet and Cloud Security Group and serves on the editorial boards of IEEE Transactions on Dependable and Secure Computing and ACM Digital Threats: Research and Practice. He has also organized and served on the program committees of various premier conferences.

Qi Li is an Endowed Associate Professor at Tsinghua University, specializing in Internet and cloud security, AI-driven network defense, and Security of AI systems. Their research focuses on developing robust defense mechanisms against emerging threats such as jailbreak attacks on large language models, volumetric DDoS attacks, and data poisoning attacks on deep learning systems. Li's work also explores secure and efficient aggregation techniques for federated learning and privacy-preserving frameworks for spatial crowdsourcing. Their publications highlight the intersection of AI and cybersecurity, emphasizing real-time detection, integrity assurance, and secure data processing in distributed environments.