Nonrobust features in biomedical images improve in-distribution accuracy on MedMNIST tasks but degrade performance on shifted data like MedMNIST-C, while robust models show the opposite pattern.
Overfitting in adversarially robust deep learning,
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Useful nonrobust features are ubiquitous in biomedical images
Nonrobust features in biomedical images improve in-distribution accuracy on MedMNIST tasks but degrade performance on shifted data like MedMNIST-C, while robust models show the opposite pattern.