Cancer-spotting AI and human experts can be fooled by image-tampering attacks

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Cancer-spotting AI and human experts can be fooled by image-tampering attacks

Artificial intelligence (AI) models that evaluate medical images have potential to speed up and improve accuracy of cancer diagnoses, but they may also be vulnerable to cyberattacks. In a new study, University of Pittsburgh researchers simulated an attack that falsified mammogram images, fooling both an AI breast cancer diagnosis model and human breast imaging radiologist experts.

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