Adversarial images induce monotonic changes in persistent-homology-based losses on CLIP/BLIP image-text alignments, and gradient features from these losses modestly improve MMD-based adversarial detection.
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Topological Signatures of Adversaries in Multimodal Alignments
Adversarial images induce monotonic changes in persistent-homology-based losses on CLIP/BLIP image-text alignments, and gradient features from these losses modestly improve MMD-based adversarial detection.