Xiao Zhang

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Quanquan GuAssociate Professor of Computer Science, UCLAEmail yang diverifikasi di cs.ucla.edu
Lingxiao WangToyota Technological Institute at ChicagoEmail yang diverifikasi di ttic.edu
David EvansUniversity of Virginia, Computer ScienceEmail yang diverifikasi di virginia.edu
Yaodong YuUniversity of California, BerkeleyEmail yang diverifikasi di berkeley.edu
Jinghui ChenAssistant Professor of Information Sciences and Technology, Penn State UniversityEmail yang diverifikasi di psu.edu
YIRAN WUPhD Student, Pennsylvania State UniversityEmail yang diverifikasi di psu.edu
Qingyun WuThe Pennsylvania State UniversityEmail yang diverifikasi di psu.edu
Huazheng WangAssistant Professor, Oregon State UniversityEmail yang diverifikasi di oregonstate.edu
Yifan ZengPhD Student, Oregon State UniversityEmail yang diverifikasi di oregonstate.edu
Michael BackesChairman and Founding Director of the CISPA Helmholtz Center for Information SecurityEmail yang diverifikasi di cispa.saarland
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonEmail yang diverifikasi di cs.washington.edu
Sicheng ZhuUniversity of Maryland, College ParkEmail yang diverifikasi di umd.edu
Saeed MahloujifarFAIR, MetaEmail yang diverifikasi di meta.com
Mohammad MahmoodyAssociate Professor, University of VirginiaEmail yang diverifikasi di virginia.edu
Hongwei LiIEEE Fellow, University of Electronic Science and Technology of ChinaEmail yang diverifikasi di uestc.edu.cn
Wenbo JiangUniversity of Electronic Science and Technology of ChinaEmail yang diverifikasi di uestc.edu.cn
Fnu SuyaUniversity of Tennessee, KnoxvilleEmail yang diverifikasi di virginia.edu
Yuan TianAssociate Professor, University of California, Los AngelesEmail yang diverifikasi di ucla.edu
Prof Shui YuFIEEE, BoG of IEEE ComSoc , School of Computer Science, University of Technology SydneyEmail yang diverifikasi di uts.edu.au
Yiyong LiuCISPA Helmholtz Center for Information SecurityEmail yang diverifikasi di cispa.de

Ikuti

Xiao Zhang

CISPA Helmholtz Center for Information Security

Email yang diverifikasi di cispa.de - Beranda

Trustworthy Machine Learning Adversarial Machine Learning Statistical Machine Learning Optimization


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Learning one-hidden-layer relu networks via gradient descent X Zhang, Y Yu, L Wang, Q Gu International Conference on Artificial Intelligence and Statistics (AISTATS …, 2019	163	2019
A unified computational and statistical framework for nonconvex low-rank matrix estimation L Wang, X Zhang, Q Gu International Conference on Artificial Intelligence and Statistics (AISTATS …, 2017	92	2017
A unified framework for nonconvex low-rank plus sparse matrix recovery X Zhang, LW Wang, Q Gu International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018	53*	2018
Autodefense: Multi-agent llm defense against jailbreak attacks Y Zeng, Y Wu, X Zhang, H Wang, Q Wu arXiv preprint arXiv:2403.04783, 2024	52	2024
A primal-dual analysis of global optimality in nonconvex low-rank matrix recovery X Zhang, L Wang, Y Yu, Q Gu International Conference on Machine Learning (ICML), 2018, 2018	48	2018
Fast and sample efficient inductive matrix completion via multi-phase procrustes flow X Zhang, SS Du, Q Gu International Conference on Machine Learning (ICML), 2018, 2018	30	2018
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization S Zhu, X Zhang, D Evans International Conference on Machine Learning (ICML), 2020, 2020	27	2020
A unified variance reduction-based framework for nonconvex low-rank matrix recovery L Wang, X Zhang, Q Gu International Conference on Machine Learning (ICML), 2017, 2017	27*	2017
Cost-Sensitive Robustness against Adversarial Examples X Zhang, D Evans International Conference on Learning Representations (ICLR), 2019, 2019	26	2019
Robust wirtinger flow for phase retrieval with arbitrary corruption J Chen, L Wang, X Zhang, Q Gu arXiv preprint arXiv:1704.06256, 2017	25	2017
Empirically measuring concentration: Fundamental limits on intrinsic robustness S Mahloujifar, X Zhang, M Mahmoody, D Evans NeurIPS 2019, 2019	24	2019
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models X Zhang, J Chen, Q Gu, D Evans International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020	16	2020
Understanding Intrinsic Robustness using Label Uncertainty X Zhang, D Evans International Conference on Learning Representations (ICLR), 2022, 2022	8*	2022
Stealthy targeted backdoor attacks against image captioning W Fan, H Li, W Jiang, M Hao, S Yu, X Zhang IEEE Transactions on Information Forensics and Security, 2024	7	2024
Improved Estimation of Concentration under Lp-norm Distance Metrics using Half Spaces JB Prescott, X Zhang, D Evans International Conference on Learning Representations (ICLR) 2021, 2021	7	2021
Transferable availability poisoning attacks Y Liu, M Backes, X Zhang arXiv preprint arXiv:2310.05141, 2023	4	2023
Do Parameters Reveal More than Loss for Membership Inference? A Suri, X Zhang, D Evans Transactions on Machine Learning Research (TMLR), 2024	3	2024
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? F Suya, X Zhang, Y Tian, D Evans Advances in neural information processing systems (NeurIPS 2023) 36, 2023	3*	2023
GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs AR Basani, X Zhang arXiv preprint arXiv:2411.14133, 2024	1	2024
Improving the Efficiency of Self-Supervised Adversarial Training through Latent Clustering-based Selection S Ghosh, Y Xu, X Zhang arXiv preprint arXiv:2501.10466, 2025		2025

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