Stable Diffusion for Generating Natural Adversarial Examples to Evaluate Image Classifiers

SD-NAE, a method that leverages Stable Diffusion to actively generate natural adversarial examples, demonstrates significant potential in evaluating and understanding the robustness of deep image classifiers.