imperceptible专题

论文阅读——Imperceptible Adversarial Attack via Invertible Neural Networks

Imperceptible Adversarial Attack via Invertible Neural Networks 作者:Zihan Chen, Ziyue Wang, Junjie Huang*, Wentao Zhao, Xiao Liu, Dejian Guan 解决的问题:虽然视觉不可感知性是对抗性示例的理想特性,但传统的对抗性攻击仍然会产生可追踪的对抗扰动。 代码:htt