Wenxiao Wang

According to our database, Wenxiao Wang authored at least 13 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks.

Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Malemir Chegini, Wenxiao Wang, Soheil Feizi

CoRR, 2023

On Practical Aspects of Aggregation Defenses against Data Poisoning Attacks.

Wenxiao Wang, Soheil Feizi

CoRR, 2023

Adversarial Robustness of Learning-based Static Malware Classifiers.

Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi

CoRR, 2023

Can AI-Generated Text be Reliably Detected?

Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, Soheil Feizi

CoRR, 2023

Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases.

Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Temporal Robustness against Data poisoning.

Wenxiao Wang, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Spuriosity Rankings: Sorting Data for Spurious Correlation Robustness.

Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi

CoRR, 2022

Lethal Dose Conjecture on Data Poisoning.

Wenxiao Wang, Alexander Levine, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation.

Wenxiao Wang, Alexander Levine, Soheil Feizi

Proceedings of the International Conference on Machine Learning, 2022

2021

DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing.

Wenxiao Wang, Tianhao Wang, Lun Wang, Nanqing Luo, Pan Zhou, Dawn Song, Ruoxi Jia

Proc. Priv. Enhancing Technol., 2021

On Feature Decorrelation in Self-Supervised Learning.

Tianyu Hua, Wenxiao Wang, Zihui Xue, Sucheng Ren, Yue Wang, Hang Zhao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data.

Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

2020

The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks.

Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020