Medical Imaging AI Software Is Vulnerable to Covert Attacks | AI

Illustration of medical information at risk.
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Artificial systems meant to analyze images are vulnerable to attacks designed to fool them in ways that are imperceptible to humans, a new study warns.

There may be enormous incentives to carry out such attacks for and other nefarious ends, the researchers say.

“The most striking thing to me as a researcher crafting these attacks was probably how easy they were to carry out,” says study lead author Samuel Finlayson, a computer scientist and biomedical informatician at Harvard Medical School in Boston. “This was in practice a relatively simple process that could easily be automated.”

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