A text-to-image diffusion attack that interleaves denoising with momentum-based adversarial gradients and an adaptive on/off switch to generate natural-looking unrestricted adversarial examples.
Reliable evalua- tion of adversarial robustness with an ensemble of di- verse parameter-free attacks
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VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models
A text-to-image diffusion attack that interleaves denoising with momentum-based adversarial gradients and an adaptive on/off switch to generate natural-looking unrestricted adversarial examples.