The following publications are possibly variants of this publication:
- Multi-scale Features Destructive Universal Adversarial PerturbationsHuangxinyue Wu, Haoran Li, Jinhong Zhang, Wei Zhou, Lei Guo, Yunyun Dong. icics 2023: 418-434 [doi]
- Learning Universal Adversarial Perturbation by Adversarial ExampleMaosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang. AAAI 2022: 1350-1358 [doi]
- An Adversarial Machine Learning Method Based on OpCode N-grams Feature in Malware DetectionXiang Li, Kefan Qiu, Cheng Qian, Gang Zhao. dsc 2020: 380-387 [doi]
- Adversarial Learning with Bidirectional Attention for Visual Question AnsweringQifeng Li, Xinyi Tang, Yi Jian. sensors, 21(21):7164, 2021. [doi]