Wang, Wenxiao

Can AI-Generated Text be Reliably Detected?

Sadasivan, V. S., Kumar, A., Balasubramanian, S., Wang, W., & Feizi, S. (2023) · arXiv

Adversarial Robustness in Machine LearningAuthorship Attribution and Profiling

Cited by 810

Masked Autoencoders for Point Cloud Self-supervised Learning

Pang, Y., Wang, W., Tay, F. E. H., Liu, W., Tian, Y., & Yuan, L. (2022) · Lecture Notes in Computer Science

3D Shape Modeling and AnalysisDomain Adaptation and Few-Shot Learning

Cited by 605

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

Zhang, Y., Jia, R., Pei, H., Wang, W., Li, B., & Song, D. (2019) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 465

From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

Zhang, X., Quan, Y., Shen, C., Yuan, X., Yan, S., Xie, L., Wang, W., Gu, C., Tang, H., & Ye, J. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 26

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

Wang, W., Levine, A., & Feizi, S. (2022) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 22