AdvFLYP finetunes CLIP on web image-text pairs using adversarial contrastive learning and regularization to boost zero-shot adversarial robustness across domains better than prior proxy-dataset methods.
Interpreting and analysing clip’s zero-shot image classification via mutual knowledge.Advances in Neural Information Processing Sys- tems, 37:39597–39631
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Finetune Like You Pretrain: Boosting Zero-shot Adversarial Robustness in Vision-language Models
AdvFLYP finetunes CLIP on web image-text pairs using adversarial contrastive learning and regularization to boost zero-shot adversarial robustness across domains better than prior proxy-dataset methods.