privacy

Zihang Xiang

Ph.D. Student, Computer Science

machine learning privacy

My current research is on privacy-preserving data analysis. I am interested in pushing the boundaries of differential privacy via principled approaches in broad machine learning applications.

Yulian Wu

Ph.D. Student, Computer Science

machine learning privacy Trustworthy AI decision making decision sciences privacy-preserving AI trustworthy machine learning Robustness Reinforcement Learning quantum machine learning bioinformatics direct preference optimization

Yulian Wu is a Ph.D. candidate under the supervision of Professor Francesco Orabona at King Abdullah University of Science and Technology (KAUST).

Lijie Hu

Ph.D. Student, Computer Science

machine learning privacy

Di Wang

Assistant Professor, Computer Science

machine learning data mining privacy security

Professor Wang's research addresses issues and societal concerns arising from machine learning, particularly in the areas of privacy, security, safety, fairness, robustness, interpretability and transparency. He aims to develop provable and practical algorithms to address trustworthiness issues in machine learning.