Han Xu
Han Xu
Email verificata su msu.edu - Home page
Citata da
Citata da
Adversarial attacks and defenses in images, graphs and text: A review
H Xu, Y Ma, H Liu, D Deb, H Liu, J Tang, A Jain, K
International Journal of Automation and Computing 17 (2), 151-178, 2020
Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study
W Jin, Y Li, H Xu, Y Wang, J Tang
arXiv preprint arXiv:2003.00653, 2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
Y Li, W Jin, H Xu, J Tang
arXiv preprint arXiv:2005.06149, 2020
Covariance-insured screening
K He, J Kang, HG Hong, J Zhu, Y Li, H Lin, H Xu, Y Li
Computational statistics & data analysis 132, 100-114, 2019
A selective overview of feature screening methods with applications to neuroimaging data
K He, H Xu, J Kang
Wiley Interdisciplinary Reviews: Computational Statistics 11 (2), e1454, 2019
To be Robust or to be Fair: Towards Fairness in Adversarial Training
H Xu, X Liu, Y Li, J Tang
arXiv preprint arXiv:2010.06121, 2020
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily
H Xu, Y Li, X Liu, H Liu, J Tang
arXiv preprint arXiv:2009.01672, 2020
Adversarial Attacks and Defenses: Frontiers, Advances and Practice
H Xu, Y Li, W Jin, J Tang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Deep Adversarial Canonical Correlation Analysis
W Fan, Y Ma, H Xu, X Liu, J Wang, Q Li, J Tang
Proceedings of the 2020 SIAM International Conference on Data Mining, 352-360, 2020
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