Sicheng Zhu

I am currently a visiting scholar at the University of Virginia advised by Prof. David Evans. I received my M.E. from Institute of Electronics, Chinese Academy of Sciences and B.S. from University of Electronic Science and Technology of China. I will be starting as a Ph.D. student in the Computer Science Department at the University of Maryland, College Park this fall.

I am interested in statistical machine learning and deep learning. My recent work has focused on adversarial machine learning, especially on understanding the adversarial vulnerability of machine learning models and principled ways to reduce sample complexity for robust generalization.

Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
Sicheng Zhu*, Xiao Zhang*, David Evans
ICML 2020
Guess First to Enable Better Compression and Adversarial Robustness
Sicheng Zhu, Bang An, Shiyu Niu
NeurIPS 2019 Workshop on Information Theory and Machine Learning
[arXiv]   [link]

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