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Tong Wu
Tong Wu
Princeton University
Verifisert e-postadresse på princeton.edu - Startside
Tittel
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Defending against physically realizable attacks on image classification
T Wu, L Tong, Y Vorobeychik
ICLR 2020 Spotlight, 2019
1402019
Towards A Proactive ML Approach for Detecting Backdoor Poison Samples
X Qi, T Xie, T Wang, T Wu, S Mahloujifar, P Mittal
USENIX 2023, 2023
512023
Certifiably robust rag against retrieval corruption
C Xiang, T Wu, Z Zhong, D Wagner, D Chen, P Mittal
arXiv preprint arXiv:2405.15556, 2024
382024
Privacy-preserving in-context learning for large language models
T Wu, A Panda, JT Wang, P Mittal
ICLR 2024, 2023
342023
Adversarial robustness of deep sensor fusion models
S Wang, T Wu, A Chakrabarti, Y Vorobeychik
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022
31*2022
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation
T Wu, T Wang, V Sehwag, S Mahloujifar, P Mittal
AISEC 2022, 2022
292022
Differentially private in-context learning
A Panda, T Wu, J Wang, P Mittal
The 61st Annual Meeting Of The Association For Computational Linguistics, 2023
222023
Uncovering Adversarial Risks of Test-Time Adaptation
T Wu, F Jia, X Qi, JT Wang, V Sehwag, S Mahloujifar, P Mittal
ICML 2023, 2023
122023
A Randomized Approach for Tight Privacy Accounting
JT Wang, S Mahloujifar, T Wu, R Jia, P Mittal
NeurIPS 2023, 2023
102023
Systems and methods for defending against physical attacks on image classification
Y Vorobeychik, T Wu, L Tong
US Patent 20210300433A1, 2021
62021
{PatchCURE}: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses
C Xiang, T Wu, S Dai, J Petit, S Jana, P Mittal
33rd USENIX Security Symposium (USENIX Security 24), 3675-3692, 2024
52024
Short: Certifiably Robust Perception Against Adversarial Patch Attacks: A Survey
C Xiang, C Sitawarin, T Wu, P Mittal
VehicleSec 2023, 2023
42023
GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration
JT Wang, T Wu, D Song, P Mittal, R Jia
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
32024
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy
T Wu, S Zhang, K Song, S Xu, S Zhao, R Agrawal, SR Indurthi, C Xiang, ...
ICLR 2025, 2024
32024
Can optical trojans assist adversarial perturbations?
A Boloor, T Wu, P Naughton, A Chakrabarti, X Zhang, Y Vorobeychik
Proceedings of the IEEE/CVF International Conference on Computer Vision, 122-131, 2021
32021
Position paper: Beyond robustness against single attack types
S Dai, C Xiang, T Wu, P Mittal
arXiv e-prints, arXiv: 2405.01349, 2024
22024
The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents
F Jia, T Wu, X Qin, A Squicciarini
2024
Position: Towards Resilience Against Adversarial Examples
S Dai, C Xiang, T Wu, P Mittal
arXiv preprint arXiv:2405.01349, 2024
2024
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Artikler 1–18