(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. I aim to analyze and mitigate the security and privacy risks associated with (Multimodal) Large Language Model.
Open to Collaborations !
Welcome to contact me via email and others:
* Equal contribution
Privacy-Preserving In-Context Learning for Large Language Models
Tong Wu*, Ashwinee Panda*, Jiachen T. Wang*, Prateek Mittal
ICLR 2024
[Paper] [Code]
Uncovering Adversarial Risks of Test-Time Adaptation
Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
ICML 2023
[Paper]
[Project]
[Code]
Defending against Physically Realizable Attacks on Image Classification
Tong Wu, Liang Tong, Yevgeniy Vorobeychik
ICLR 2020 Spotlight Presentation
[Paper]
[Code]
[Video]
[Slides]
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
USENIX 2024
[Paper]
A Randomized Approach for Tight Privacy Accounting
Jiachen T. Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal
NeurIPS 2023
[Paper]
Towards A Proactive ML Approach for Detecting Backdoor Poison Samples
Xiangyu Qi, Tinghao Xie, Jiachen T. Wang, Tong Wu, Saeed Mahloujifar, Prateek Mittal
USENIX 2023
[Paper]
[Code]
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
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation
Tong Wu, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
AISEC 2022
[Paper]
[Code]
[Demo]
Adversarial Robustness of Deep Sensor Fusion Models
Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik
WACV 2022
[Paper]
[Code]
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]
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:
