I am an Assistant Professor in the Computer Science Department at University of Illinois at Urbana-Champaign. My research focuses on machine learning, security, privacy, and game theory. Specifically, much of our work aims at exploring vulnerabilities of machine learning systems to various adversarial attacks, and endeavors to develop real-world robust learning systems.

The long-term goal for our group, Secure learning lab (SL2), is to make machine learning algorithms safer, more efficient, and more explainable. We have worked on exploring different types of adversarial attacks including evasion and poisoning attacks in physical world with semantically meaningful constraints. We have developed and will continue to explore robust learning algorithms based on game theory, prior knowledge of data distribution, as well as properties of learning tasks. Our work directly benefits applications such as computer vision, question-answering, audio recognition, and privacy preserving medical records analysis.

I'm looking for motivated postdocs who are experienced in theoretic research, including learning theory or information theory. Please directly sent me an email if you are interested.

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