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Wenxiao Wang
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The secret revealer: Generative model-inversion attacks against deep neural networks
Y Zhang, R Jia, H Pei, W Wang, B Li, D Song
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
4042020
Can AI-Generated Text be Reliably Detected?
VS Sadasivan, A Kumar, S Balasubramanian, W Wang, S Feizi
arXiv preprint arXiv:2303.11156, 2023
2312023
On feature decorrelation in self-supervised learning
T Hua, W Wang, Z Xue, S Ren, Y Wang, H Zhao
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1722021
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data
X Chen, W Wang, C Bender, Y Ding, R Jia, B Li, D Song
Proceedings of the 2021 ACM Asia Conference on Computer and Communications …, 2021
1022021
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation
W Wang, AJ Levine, S Feizi
International Conference on Machine Learning, 22769-22783, 2022
462022
Leveraging unlabeled data for watermark removal of deep neural networks
X Chen, W Wang, Y Ding, C Bender, R Jia, B Li, D Song
ICML workshop on Security and Privacy of Machine Learning, 2019
332019
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing
W Wang, T Wang, L Wang, N Luo, P Zhou, D Song, R Jia
Proceedings on Privacy Enhancing Technologies 2021 (4), 163-183, 2021
132021
Lethal Dose Conjecture on Data Poisoning
W Wang, A Levine, S Feizi
Adavances on Neural Information Processing Systems (NeurIPS) 2022, 2022
122022
Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
M Saberi, VS Sadasivan, K Rezaei, A Kumar, A Chegini, W Wang, S Feizi
arXiv preprint arXiv:2310.00076, 2023
82023
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
M Moayeri, W Wang, S Singla, S Feizi
Advances in Neural Information Processing Systems 36, 2024
4*2024
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness
S Saha, W Wang, Y Kaya, S Feizi, T Dumitras
The Twelfth International Conference on Learning Representations, 2023
4*2023
Temporal Robustness against Data Poisoning
W Wang, S Feizi
Advances in Neural Information Processing Systems 36, 2024
2024
On Practical Aspects of Aggregation Defenses against Data Poisoning Attacks
W Wang, S Feizi
arXiv preprint arXiv:2306.16415, 2023
2023
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