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ORCIDWenxiao Wang 0002
Person information
- affiliation: University of Maryland, Department of Computer Science, College Park, MD, USA
- affiliation (former): Tsinghua University, China
Other persons with the same name
- Wenxiao Wang 0001
![[0000-0002-6399-292X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6399-292X")
— Zhejiang University, Hangzhou, China - Wenxiao Wang 0003 — Institut supérieur d'électronique de Paris, Paris, France
- Wenxiao Wang 0004 — Macau University of Science and Technology, Faculty of Information Technology, Macau
- Wenxiao Wang 0005 — The University of Western Australia, Australia
- Wenxiao Wang 0006 — Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning / IDG/McGovern Institute for Brain Research / BABRI Centre, China
- Wenxiao Wang 0007 — Xidian University, School of Electro-Mechanical Engineering, Department of Automation, Xi'an, China
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2020 – today
- 2024
[c9]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- [c8]Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi, Tudor Dumitras:
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness. ICLR 2024 - [i13]Wenxiao Wang, Weiming Zhuang, Lingjuan Lyu:
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection. CoRR abs/2406.07536 (2024) - 2023
- [c7]Wenxiao Wang, Soheil Feizi:
Temporal Robustness against Data poisoning. NeurIPS 2023 - [c6]Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi:
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases. NeurIPS 2023 - [i12]Wenxiao Wang, Soheil Feizi:
Temporal Robustness against Data Poisoning. CoRR abs/2302.03684 (2023) - [i11]Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, Soheil Feizi:
Can AI-Generated Text be Reliably Detected? CoRR abs/2303.11156 (2023) - [i10]Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi:
Adversarial Robustness of Learning-based Static Malware Classifiers. CoRR abs/2303.13372 (2023) - [i9]Wenxiao Wang, Soheil Feizi:
On Practical Aspects of Aggregation Defenses against Data Poisoning Attacks. CoRR abs/2306.16415 (2023) - [i8]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 abs/2310.00076 (2023) - 2022
- [c5]Wenxiao Wang, Alexander Levine, Soheil Feizi:
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. ICML 2022: 22769-22783 - [c4]Wenxiao Wang, Alexander Levine, Soheil Feizi:
Lethal Dose Conjecture on Data Poisoning. NeurIPS 2022 - [i7]Wenxiao Wang, Alexander Levine, Soheil Feizi:
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. CoRR abs/2202.02628 (2022) - [i6]Wenxiao Wang, Alexander Levine, Soheil Feizi:
Lethal Dose Conjecture on Data Poisoning. CoRR abs/2208.03309 (2022) - [i5]Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi:
Spuriosity Rankings: Sorting Data for Spurious Correlation Robustness. CoRR abs/2212.02648 (2022) - 2021
- [j1]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): 163-183 (2021) - [c3]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: 321-335 - [c2]Tianyu Hua, Wenxiao Wang, Zihui Xue, Sucheng Ren, Yue Wang, Hang Zhao:
On Feature Decorrelation in Self-Supervised Learning. ICCV 2021: 9578-9588 - [i4]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 abs/2103.01496 (2021) - [i3]Tianyu Hua, Wenxiao Wang, Zihui Xue, Yue Wang, Sucheng Ren, Hang Zhao:
On Feature Decorrelation in Self-Supervised Learning. CoRR abs/2105.00470 (2021) - 2020
- [c1]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: 250-258
2010 – 2019
- 2019
- [i2]Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song:
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. CoRR abs/1911.07135 (2019) - [i1]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 abs/1911.07205 (2019)
Coauthor Index
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