Yi Zeng
Yi Zeng was a Ph.D. student in the Bradley Department of Electrical and Computer Engineering. His advisor was 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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Congratulations to Sanghani Center’s Spring 2025 graduates! , article Date: May 19, 2025 - -
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