Decoupling visual similarity and attack success into separate diffusion-model alignment stages yields unrestricted adversarial images with state-of-the-art black-box transferability.
Alberti, and Tandri Gauksson
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Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
Decoupling visual similarity and attack success into separate diffusion-model alignment stages yields unrestricted adversarial images with state-of-the-art black-box transferability.