GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model

Zhiyu Zhu, Huaming Chen, Xinyi Wang +5

Adversarial generative models, such as Generative Adversarial Networks (GANs), are widely applied for generating various types of data, i.e., images, text, and audio. Accordingly,…