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News/CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
arxiv
PublishedSeptember 1, 2026 at 4:00 AM

CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification

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arXiv:2502.18176v3 Announce Type: replace-cross Abstract: In this paper, we aim to build an adversarially robust zero-shot image classifier. We ground our work on CLIP, a vision-language pre-trained encoder model that can perform zero-shot classification by matching an image with text prompts ``a ph

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