Xiao Zhang - RankMe

40 papers A* 10A 5Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models. CoRR Jia Fu, Yongtao Wu, Yihang Chen, Kunyu Peng, Xiao Zhang, Volkan Cevher, Sepideh Pashami, Anders Holst
2025	A	`conf`	DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination. WACV Jia Fu, Xiao Zhang, Sepideh Pashami, Fatemeh Rahimian, Anders Holst
2025	A*	`conf`	DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR Strategy. CCS Wenshu Fan, Minxing Zhang, Hongwei Li, Wenbo Jiang, Hanxiao Chen, Xiangyu Yue, Michael Backes, Xiao Zhang
2025	J	`jnl`	DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR Strategy. CoRR Wenshu Fan, Minxing Zhang, Hongwei Li, Wenbo Jiang, Hanxiao Chen, Xiangyu Yue, Michael Backes, Xiao Zhang
2025	J	`jnl`	Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race? CoRR Yuan Xin, Dingfan Chen, Linyi Yang, Michael Backes, Xiao Zhang
2025	J	`jnl`	MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents. CoRR 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
2025	A*	`conf`	Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing. ICML Yuan Xin, Dingfan Chen, Michael Backes, Xiao Zhang
2024	J	`jnl`	DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination. CoRR Jia Fu, Xiao Zhang, Sepideh Pashami, Fatemeh Rahimian, Anders Holst
2024	J	`jnl`	Do Parameters Reveal More than Loss for Membership Inference? CoRR Anshuman Suri, Xiao Zhang, David Evans
2024	J	`jnl`	Do Parameters Reveal More than Loss for Membership Inference? Trans. Mach. Learn. Res. Anshuman Suri, Xiao Zhang, David Evans
2024	J	`jnl`	Generating Less Certain Adversarial Examples Improves Robust Generalization. Trans. Mach. Learn. Res. Minxing Zhang, Michael Backes, Xiao Zhang
2024	J	`jnl`	Invisibility Cloak: Disappearance under Human Pose Estimation via Backdoor Attacks. CoRR Minxing Zhang, Michael Backes, Xiao Zhang
2024	J	`jnl`	Stealthy Targeted Backdoor Attacks Against Image Captioning. IEEE Trans. Inf. Forensics Secur. Wenshu Fan, Hongwei Li, Wenbo Jiang, Meng Hao, Shui Yu, Xiao Zhang
2024	J	`jnl`	Stealthy Targeted Backdoor Attacks against Image Captioning. CoRR Wenshu Fan, Hongwei Li, Wenbo Jiang, Meng Hao, Shui Yu, Xiao Zhang
2023	J	`jnl`	Generating Less Certain Adversarial Examples Improves Robust Generalization. CoRR Minxing Zhang, Michael Backes, Xiao Zhang
2023	J	`jnl`	Provably Robust Cost-Sensitive Learning via Randomized Smoothing. CoRR Yuan Xin, Michael Backes, Xiao Zhang
2023	J	`jnl`	Transferable Availability Poisoning Attacks. CoRR Yiyong Liu, Michael Backes, Xiao Zhang
2023	A*	`conf`	What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NeurIPS Fnu Suya, Xiao Zhang, Yuan Tian, David Evans
2023	J	`jnl`	When Can Linear Learners be Robust to Indiscriminate Poisoning Attacks? CoRR Fnu Suya, Xiao Zhang, Yuan Tian, David Evans
2022	A*	`conf`	Understanding Intrinsic Robustness Using Label Uncertainty. ICLR Xiao Zhang, David E. Evans
2021	J	`jnl`	Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces. CoRR Jack Prescott, Xiao Zhang, David Evans
2021	A*	`conf`	Improved Estimation of Concentration Under ℓp-Norm Distance Metrics Using Half Spaces. ICLR Jack Prescott, Xiao Zhang, David E. Evans
2021	J	`jnl`	Incorporating Label Uncertainty in Understanding Adversarial Robustness. CoRR Xiao Zhang, David Evans
2020	A*	`conf`	Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization. ICML Sicheng Zhu, Xiao Zhang, David Evans
2020	J	`jnl`	Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization. CoRR Sicheng Zhu, Xiao Zhang, David Evans
2020	A	`conf`	Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. AISTATS Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans
2020	J	`jnl`	Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. CoRR Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans
2019	—	`conf`	Cost-Sensitive Robustness against Adversarial Examples. ICLR (Poster) Xiao Zhang, David Evans
2019	A*	`conf`	Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness. NeurIPS Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody, David Evans
2019	J	`jnl`	Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness. CoRR Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody, David Evans
2019	A	`conf`	Learning One-hidden-layer ReLU Networks via Gradient Descent. AISTATS Xiao Zhang, Yaodong Yu, Lingxiao Wang, Quanquan Gu
2018	A*	`conf`	A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery. ICML Xiao Zhang, Lingxiao Wang, Yaodong Yu, Quanquan Gu
2018	A	`conf`	A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery. AISTATS Xiao Zhang, Lingxiao Wang, Quanquan Gu
2018	J	`jnl`	Cost-Sensitive Robustness against Adversarial Examples. CoRR Xiao Zhang, David Evans
2018	A*	`conf`	Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow. ICML Xiao Zhang, Simon S. Du, Quanquan Gu
2018	J	`jnl`	Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow. CoRR Xiao Zhang, Simon S. Du, Quanquan Gu
2018	J	`jnl`	Learning One-hidden-layer ReLU Networks via Gradient Descent. CoRR Xiao Zhang, Yaodong Yu, Lingxiao Wang, Quanquan Gu
2017	A	`conf`	A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation. AISTATS Lingxiao Wang, Xiao Zhang, Quanquan Gu
2017	A*	`conf`	A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery. ICML Lingxiao Wang, Xiao Zhang, Quanquan Gu
2017	J	`jnl`	Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption. CoRR Jinghui Chen, Lingxiao Wang, Xiao Zhang, Quanquan Gu