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plip-model

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jaiprakash1824 / VLM_Adv_Attack

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In the dynamic landscape of medical artificial intelligence, this study explores the vulnerabilities of the Pathology Language-Image Pretraining (PLIP) model, a Vision Language Foundation model, under targeted attacks like PGD adversarial attack.

pytorch attention-mechanism clip vulnerability-detection pathology trustworthiness adversarial-attacks attention-visualization pathology-image histopathology-images pgd-adversarial-attacks contrastive-learning trustworthy-machine-learning vision-transformer trustworthy-ai plip-model histopathology-image-classfication vision-language-model
  • Updated May 18, 2024
  • Jupyter Notebook

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