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- Adversarial Ranking Attack and Defense
Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua
- Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (Code)
Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan Yuille
- Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds
Yueru Li, Shuyu Cheng, Hang Su, and Jun Zhu
- Open-set Adversarial Defense (Code )
Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel
- Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu
- Improving Query Efficiency of Black-box Adversarial Attack (Code )
Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo
- Square Attack: a query-efficient black-box adversarial attack via random search (Code)
Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein
- Boosting Decision-based Black-box Adversarial Attacks with Random Sign Flip
Weilun Chen, Zhaoxiang Zhang, Xiaolin Hu, Baoyuan Wu