Follow
Xiao Zhang
Xiao Zhang
CISPA Helmholtz Center for Information Security
Verified email at cispa.de - Homepage
Title
Cited by
Cited by
Year
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
1462019
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
852017
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
452018
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
45*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
282018
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
S Zhu, X Zhang, D Evans
International Conference on Machine Learning (ICML), 2020, 2020
252020
Cost-Sensitive Robustness against Adversarial Examples
X Zhang, D Evans
International Conference on Learning Representations (ICLR), 2019, 2019
252019
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
25*2017
Empirically measuring concentration: Fundamental limits on intrinsic robustness
S Mahloujifar, X Zhang, M Mahmoody, D Evans
NeurIPS 2019, 2019
242019
Robust wirtinger flow for phase retrieval with arbitrary corruption
J Chen, L Wang, X Zhang, Q Gu
arXiv preprint arXiv:1704.06256, 2017
242017
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
152020
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
62021
A unified framework for low-rank plus sparse matrix recovery
X Zhang, L Wang, Q Gu
arXiv preprint arXiv:1702.06525, 2017
62017
Understanding Intrinsic Robustness using Label Uncertainty
X Zhang, D Evans
International Conference on Learning Representations (ICLR), 2022, 2022
5*2022
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
Transferable Availability Poisoning Attacks
Y Liu, M Backes, X Zhang
arXiv preprint arXiv:2310.05141, 2023
12023
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks
Y Zeng, Y Wu, X Zhang, H Wang, Q Wu
arXiv preprint arXiv:2403.04783, 2024
2024
Generating Less Certain Adversarial Examples Improves Robust Generalization
M Zhang, M Backes, X Zhang
arXiv preprint arXiv:2310.04539, 2023
2023
Provably Robust Cost-Sensitive Learning via Randomized Smoothing
Y Xin, M Backes, X Zhang
The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023
2023
From Characterizing Intrinsic Robustness to Adversarially Robust Machine Learning
X Zhang
University of Virginia, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–20