Wenxiao Wang

According to our database, Wenxiao Wang authored at least 19 papers between 2020 and 2025.

Collaborative distances:

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

2025

DyePack: Provably Flagging Test Set Contamination in LLMs Using Backdoors.

Yize Cheng, Wenxiao Wang, Mazda Moayeri, Soheil Feizi

CoRR, May, 2025

Gaming Tool Preferences in Agentic LLMs.

Kazem Faghih, Wenxiao Wang, Yize Cheng, Siddhant Bharti, Gaurang Sriramanan, Sriram Balasubramanian, Parsa Hosseini, Soheil Feizi

CoRR, May, 2025

Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption.

Wenxiao Wang, Parsa Hosseini, Soheil Feizi

CoRR, April, 2025

Can AI-Generated Text be Reliably Detected? Stress Testing AI Text Detectors Under Various Attacks.

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

Trans. Mach. Learn. Res., 2025

2024

Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection.

Wenxiao Wang, Weiming Zhuang, Lingjuan Lyu

CoRR, 2024

DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness.

Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi, Tudor Dumitras

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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