The following publications are possibly variants of this publication:
- "Adversarial Examples" for Proof-of-LearningRui Zhang, Jian Liu, Yuan Ding, Zhibo Wang, Qingbiao Wu, Kui Ren 0001. sp 2022: 1408-1422 [doi]
- Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake DetectionLiang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang. cvpr 2022: 18689-18698 [doi]
- Robustness of classifier to adversarial examples under imbalanced dataWenqian Zhao, Han Li, Lingjuan Wu, Liangxuan Zhu, Xuelin Zhang, Yizhi Zhao. ccoms 2022: 156-161 [doi]
- Learning Universal Adversarial Perturbation by Adversarial ExampleMaosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang. AAAI 2022: 1350-1358 [doi]
- Learning Indistinguishable and Transferable Adversarial ExamplesWu Zhang, Junhua Zou, Yexin Duan, Xingyu Zhou, Zhisong Pan. prcv 2021: 152-164 [doi]
- Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial ExamplesChumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan. icml 2023: 20763-20786 [doi]
- Generating Adversarial Examples with Adversarial NetworksChaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song. IJCAI 2018: 3905-3911 [doi]