How Do Diffusion Models Improve Adversarial Robustness?

Recent research indicates that diffusion models can improve adversarial robustness, but the mechanisms are not fully understood. The study finds that diffusion-based purification increases the distance to clean samples and that robustness gains are linked to the model's input compression ability, with effectiveness varying under fixed randomness conditions.