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
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Updated
May 18, 2024 - Jupyter Notebook