Wenxiao Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Manually Labeled Training Data

Image Watermarking Scheme

Generative Model

Top Venues

Publications

Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Malemir Chegini, Wenxiao Wang, Soheil Feizi
Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks. ICLR (2024)
Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi, Tudor Dumitras
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness. ICLR (2024)
Wenxiao Wang, Weiming Zhuang, Lingjuan Lyu
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection. CoRR (2024)
Wenxiao Wang, Soheil Feizi
Temporal Robustness against Data Poisoning. CoRR (2023)
Wenxiao Wang, Soheil Feizi
Temporal Robustness against Data poisoning. NeurIPS (2023)
Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases. NeurIPS (2023)
Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Malemir Chegini, Wenxiao Wang, Soheil Feizi
Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks. CoRR (2023)
Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi
Adversarial Robustness of Learning-based Static Malware Classifiers. CoRR (2023)
Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, Soheil Feizi
Can AI-Generated Text be Reliably Detected? CoRR (2023)
Wenxiao Wang, Soheil Feizi
On Practical Aspects of Aggregation Defenses against Data Poisoning Attacks. CoRR (2023)
Wenxiao Wang, Alexander Levine, Soheil Feizi
Lethal Dose Conjecture on Data Poisoning. CoRR (2022)
Wenxiao Wang, Alexander Levine, Soheil Feizi
Lethal Dose Conjecture on Data Poisoning. NeurIPS (2022)
Wenxiao Wang, Alexander Levine, Soheil Feizi
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. CoRR (2022)
Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi
Spuriosity Rankings: Sorting Data for Spurious Correlation Robustness. CoRR (2022)
Wenxiao Wang, Alexander Levine, Soheil Feizi
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. ICML (2022)
Tianyu Hua, Wenxiao Wang, Zihui Xue, Yue Wang, Sucheng Ren, Hang Zhao
On Feature Decorrelation in Self-Supervised Learning. CoRR (2021)
Wenxiao Wang, Tianhao Wang, Lun Wang, Nanqing Luo, Pan Zhou, Dawn Song, Ruoxi Jia
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing. CoRR (2021)
Tianyu Hua, Wenxiao Wang, Zihui Xue, Sucheng Ren, Yue Wang, Hang Zhao
On Feature Decorrelation in Self-Supervised Learning. ICCV (2021)
Wenxiao Wang, Tianhao Wang, Lun Wang, Nanqing Luo, Pan Zhou, Dawn Song, Ruoxi Jia
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing. Proc. Priv. Enhancing Technol. 2021 (4) (2021)
Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data. AsiaCCS (2021)
Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. CVPR (2020)
Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song
REFIT: a Unified Watermark Removal Framework for Deep Learning Systems with Limited Data. CoRR (2019)
Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. CoRR (2019)