ATAC boosts CLIP robustness to adversarial image changes by correcting embeddings via augmentation-induced drift vectors and angular consistency checks, beating prior test-time methods by nearly 50 percent on average with low overhead.
Describing textures in the wild.2014 IEEE Conference on Computer Vision and Pattern Recognition, pages 3606–3613
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ATAC: Augmentation-Based Test-Time Adversarial Correction for CLIP
ATAC boosts CLIP robustness to adversarial image changes by correcting embeddings via augmentation-induced drift vectors and angular consistency checks, beating prior test-time methods by nearly 50 percent on average with low overhead.