Official implementation of paper "One Noise to Fool Them All: Universal Adversarial Defenses Against Image Editing", accepted at The 5th Workshop of Adversarial Machine Learning on Computer Vision: Foundation Models + X, IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2025
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