arxiv
PublishedApril 27, 2026 at 4:00 AM
—neutral
Useful nonrobust features are ubiquitous in biomedical images
Publisher summary· verbatim
arXiv:2604.22579v1 Announce Type: cross Abstract: We study whether deep networks for medical imaging learn useful nonrobust features - predictive input patterns that are not human interpretable and highly susceptible to small adversarial perturbations - and how these features impact test performance
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