Xiao Zhang

According to our database, Xiao Zhang authored at least 30 papers between 2017 and 2026.

Collaborative distances:

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

2026

FEVA-ICS: Benchmarking Adversarial Robustness of Machine Learning-based Intrusion Detection Systems in Industrial Control Systems.

Madhurima Ghosh, Ankush Meshram, Markus Karch, Christian Haas, Xiao Zhang, Mridula Singh

Proceedings of the 12th ACM Cyber-Physical System Security Workshop, 2026

2025

Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?

Yuan Xin, Dingfan Chen, Linyi Yang, Michael Backes, Xiao Zhang

CoRR, December, 2025

MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents.

Xuehui Wang, Zhenyu Wu, JingJing Xie, Zichen Ding, Bowen Yang, Zehao Li, Zhaoyang Liu, Qingyun Li, Xuan Dong, Zhe Chen, Weiyun Wang, Xiangyu Zhao, Jixuan Chen, Haodong Duan, Tianbao Xie, Chenyu Yang, Shiqian Su, Yue Yu, Yuan Huang, Yiqian Liu, Xiao Zhang, Yanting Zhang, Xiangyu Yue, Weijie Su, Xizhou Zhu, Wei Shen, Jifeng Dai, Wenhai Wang

CoRR, July, 2025

DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models.

Jia Fu, Yongtao Wu, Yihang Chen, Kunyu Peng, Xiao Zhang, Volkan Cevher, Sepideh Pashami, Anders Holst

CoRR, June, 2025

DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination.

Jia Fu, Xiao Zhang, Sepideh Pashami, Fatemeh Rahimian, Anders Holst

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing.

Yuan Xin, Dingfan Chen, Michael Backes, Xiao Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR Strategy.

Wenshu Fan, Minxing Zhang, Hongwei Li, Wenbo Jiang, Hanxiao Chen, Xiangyu Yue, Michael Backes, Xiao Zhang

Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

2024

Generating Less Certain Adversarial Examples Improves Robust Generalization.

Minxing Zhang, Michael Backes, Xiao Zhang

Trans. Mach. Learn. Res., 2024

Do Parameters Reveal More than Loss for Membership Inference?

Anshuman Suri, Xiao Zhang, David Evans

Trans. Mach. Learn. Res., 2024

Stealthy Targeted Backdoor Attacks Against Image Captioning.

Wenshu Fan, Hongwei Li, Wenbo Jiang, Meng Hao, Shui Yu, Xiao Zhang

IEEE Trans. Inf. Forensics Secur., 2024

Invisibility Cloak: Disappearance under Human Pose Estimation via Backdoor Attacks.

Minxing Zhang, Michael Backes, Xiao Zhang

CoRR, 2024

2023

Provably Robust Cost-Sensitive Learning via Randomized Smoothing.

Yuan Xin, Michael Backes, Xiao Zhang

CoRR, 2023

Transferable Availability Poisoning Attacks.

Yiyong Liu, Michael Backes, Xiao Zhang

CoRR, 2023

When Can Linear Learners be Robust to Indiscriminate Poisoning Attacks?

Fnu Suya, Xiao Zhang, Yuan Tian, David Evans

CoRR, 2023

What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?

Fnu Suya, Xiao Zhang, Yuan Tian, David Evans

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

2022

Understanding Intrinsic Robustness Using Label Uncertainty.

Xiao Zhang, David E. Evans

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Incorporating Label Uncertainty in Understanding Adversarial Robustness.

Xiao Zhang, David Evans

CoRR, 2021

Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces.

Jack Prescott, Xiao Zhang, David Evans

CoRR, 2021

Improved Estimation of Concentration Under ℓp-Norm Distance Metrics Using Half Spaces.

Jack Prescott, Xiao Zhang, David E. Evans

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization.

Sicheng Zhu, Xiao Zhang, David Evans

Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models.

Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness.

Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody, David Evans

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cost-Sensitive Robustness against Adversarial Examples.

Xiao Zhang, David Evans

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning One-hidden-layer ReLU Networks via Gradient Descent.

Xiao Zhang, Yaodong Yu, Lingxiao Wang, Quanquan Gu

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery.

Xiao Zhang, Lingxiao Wang, Yaodong Yu, Quanquan Gu

Proceedings of the 35th International Conference on Machine Learning, 2018

Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow.

Xiao Zhang, Simon S. Du, Quanquan Gu

Proceedings of the 35th International Conference on Machine Learning, 2018

A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery.

Xiao Zhang, Lingxiao Wang, Quanquan Gu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption.

Jinghui Chen, Lingxiao Wang, Xiao Zhang, Quanquan Gu

CoRR, 2017

A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery.

Lingxiao Wang, Xiao Zhang, Quanquan Gu

Proceedings of the 34th International Conference on Machine Learning, 2017

A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation.

Lingxiao Wang, Xiao Zhang, Quanquan Gu

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017