I am a PhD student at Princeton University , advised by Prof. Prateek Mittal.
Previously, I studied at Washington University in St. Louis , advised by Prof. Yevgeniy Vorobeychik.
Research Interests: Trustworthy Machine Learning. I aim to analyze and mitigate the security and privacy risks associated with advanced learning paradigms.
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* Equal contribution
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses
Chong Xiang, Tong Wu, Sihui Dai, Jonathan Petit, Suman Jana, Prateek Mittal
arXiv preprint [Paper]
Short: Certifiably Robust Perception Against Adversarial Patch Attacks: A Survey
Chong Xiang, Chawin Sitawarin, Tong Wu, Prateek Mittal
VehicleSec2023 [Paper] [Video] [Slides] [Poster] [Leaderboard]
Best Short/WIP Paper Award Runner-Up
REVIEWING: ICLR’22,24; NeurIPS’22,23; ICML'23; IEEE S&P’21; KDD’22; AAAI’21; IJCV; WCAV’22,24; AML-CV’21.
TEACHING EXPERIENCE: Teaching Assistant of Introduction to Machine Learning (Spring 2019, Fall 2019, Spring 2020, Spring 2021), Washington University in St. Louis.
HONORS & AWARDS: