Adversarial Attacks on Text-to-Image Models
Understanding and evaluating adversarial attacks on text-to-image generation models including prompt manipulation for safety bypass, concept erasure attacks, adversarial perturbation of guidance, and membership inference on training data.
multimodaltext-to-imageadversarialdiffusionstable-diffusion