The Trustworthy Data Science and AI (TDSAI) Lab, also known as Cao Lab, is at the forefront of advancements in trustworthy data science and AI, with a strong emphasis on privacy, security, robustness, explainability, and transparency. Our mission is to develop groundbreaking theories, algorithms, and systems that promote ethical and dependable AI, contributing to the welfare of society and the future of humanity.
Our current research focuses on developing and applying privacy-enhancing technologies to address trust challenges in data management, machine learning, and security. Key areas of exploration include Differential Privacy, Federated Learning, Trustworthy LLM/LMM, AI Security, Data Marketplaces, and beyond.
January 15, 20256
One paper was accepted in TheWebConf 2026. Congrats to Bo, Yurong, and all collaborators!
November 9, 2025
Four paper was accepted in AAAI 2026. Congrats to Fuyao, Wenbo, Tianle, Lele and all collaborators!
June 22, 2025
One paper was accepted in VLDB 2025. Congrats to Wen, Pengpeng, Shang and all collaborators!
May 1, 2025
One paper was accepted in IJCAI 2025. Congrats to Lele and all collaborators!
April 3, 2025
Welcome Li, Taiga, Tomoyasu, Ian join our lab!
April 1, 2025
We started a new JST NEXUS Joint Project with NTU on Large Multi-Modal Model.