A Diffusion Prior-based Framework for Imperceptible and Flexible Unrestricted Adversarial Attacks.
Unrestricted Adversarial Examples (UAEs) pose a growing security challenge to Deep Neural Networks by introducing substantial, semantically natural modifications to images. While current diffusion-based methods improve the naturalness of UAEs, they suffer from two key limitations: an underutilization of the diffusion m...