Projected gradient matching reveals that medical image embeddings in vision transformers can be shifted between disease classes with imperceptible pixel changes, undermining the claim that these representations are semantically grounded.
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models,
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Are Vision Transformer Representations Semantically Meaningful? A Case Study in Medical Imaging
Projected gradient matching reveals that medical image embeddings in vision transformers can be shifted between disease classes with imperceptible pixel changes, undermining the claim that these representations are semantically grounded.