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Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability


Nov 21, 2021
Yifeng Xiong, Jiadong Lin, Min Zhang, John E. Hopcroft, Kun He

* 10 pages, 5 figures, submitted to a conference for review 

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Adversarial Attacks on ML Defense Models Competition


Oct 15, 2021
Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, XiaoFeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen

* Competition Report 

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Boosting Adversarial Transferability through Enhanced Momentum


Mar 19, 2021
Xiaosen Wang, Jiadong Lin, Han Hu, Jingdong Wang, Kun He

* 13 pages 

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Robust Local Features for Improving the Generalization of Adversarial Training


Sep 23, 2019
Chubiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft


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Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples


Aug 17, 2019
Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft

* 10 pages 

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