Yi Zeng
Yi Zeng is a Ph.D. student in the Bradley Department of Electrical and Computer Engineering. His advisor is Ruoxi Jia.
In his research, Zeng is particularly interested in machine learning's general robustness and security. Currently, he is looking into general robust inference for deep learning models against adversarial and backdoor attacks.
Publications
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General ItemNarcissus: A Practical Clean-Label Backdoor Attack with Limited Information Date: Apr 14, 2022
Projects
In the News
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Sanghani Center Student Spotlight: Yi Zeng , article Date: Oct 20, 2021
