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Enhancing Adversarial Training with Feature Separability


May 02, 2022
Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang

* 10 pages 

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Trustworthy AI: A Computational Perspective


Aug 02, 2021
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang

* 55 pages 

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Wood-leaf classification of tree point cloud based on intensity and geometrical information


Aug 02, 2021
Jingqian Sun, Pei Wang, Zhiyong Gao, Zichu Liu, Yaxin Li, Xiaozheng Gan


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Imbalanced Adversarial Training with Reweighting


Jul 28, 2021
Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang


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Elastic Graph Neural Networks


Jul 05, 2021
Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang

* ICML 2021 (International Conference on Machine Learning) 

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Automatic sampling and training method for wood-leaf classification based on tree terrestrial point cloud


Dec 06, 2020
Zichu Liu, Qing Zhang, Pei Wang, Yaxin Li, Jingqian Sun


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To be Robust or to be Fair: Towards Fairness in Adversarial Training


Oct 13, 2020
Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang


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Yet Meta Learning Can Adapt Fast, It Can Also Break Easily


Sep 02, 2020
Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang

* Meta Learning Robustnss 

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DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses


May 13, 2020
Yaxin Li, Wei Jin, Han Xu, Jiliang Tang

* Adversarial attacks and defenses, Pytorch library 

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