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Some patient groups are far more vulnerable to near-perfect privacy attacks from medical AI
From detecting pneumonia on a chest X-ray to assessing whether a dark spot on the skin is benign or malignant, medical AI systems are playing an increasingly important role in clinical diagnosis. Unfortunately, the models used to train these AI systems are often victims of cyberattacks, specifically membership inference attacks (MIAs), which can lead to people's personal information being stolen or revealed.
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nature.com
Disparate privacy risks from medical AI - Nature
AI models for medical diagnostics are vulnerable to membership inference attacks.
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theregister.com
Medical diagnosis AIs can be tricked into telling whose data trained them
Did you read all the documents you signed last time you had a medical test?
