(765)-720-4989 tongwu@princeton.edu
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. Recently, I am working on transductive learning paradigm.
Welcome to contact me via:
Uncovering Adversarial Risks of Test-Time Adaptation
Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
arXiv preprint
[Paper]
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation
Tong Wu, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
AISEC 2022
[Paper] [Demo]
Adversarial Robustness of Deep Sensor Fusion Models
Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik
WACV 2022
[Paper]
Systems and methods for defending against physical attacks on image classification
Yevgeniy Vorobeychik, Tong Wu, Liang Tong,
US Patent
[Patent]
Can Optical Trojans Assist Adversarial Perturbations?
Adith Boloor, Tong Wu, Patrick Naughton, Ayan Chakrabarti , Xuan Zhang, Yevgeniy Vorobeychik
AROW (ICCV'21)
[Paper]
Defending against Physically Realizable Attacks on Image Classification
Tong Wu, Liang Tong, Yevgeniy Vorobeychik
ICLR 2020 Spotlight Presentation
[Paper]
[Video]
[Slides]
REVIEWING: IJCV, AAAI’21, IEEE S&P’21, AML-CV’21, WCAV’22, KDD’22, ICLR’22, Neurips’22
TEACHING EXPERIENCE: Teaching Assistant of Introduction to Machine Learning (Spring 2019, Fall 2019, Spring 2020, Spring 2021), Washington University in St. Louis.
HONORS & AWARDS:
