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Science· 2019Q1

Adversarial attacks on medical machine learning

Samuel G. Finlayson, John D. Bowers, Joichi Ito, Jonathan Zittrain et al.

Short summary

Machine learning models used in healthcare are vulnerable to adversarial attacks, where subtle input perturbations can cause misclassifications with potentially severe consequences.

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Field: Health Informatics

Health InformaticsMedicine