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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?
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milenio.com
Modelos médicos IA pueden comprometer privacidad ciertos pacientes
El lado oscuro de la IA médica, porque tu historial clínico ya no es un secreto, cura tu cuerpo, pero vende tus datos
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independent.co.uk
Medical AI could compromise your privacy in disturbing new way, experts warn
Systems are intended to improve medical care – but could expose people in unexpected ways
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techxplore.com
Medical data of minorities could be more vulnerable to cyberattack
Individuals whose data are used to train medical artificial intelligence (AI) models may be at risk of being identified in cyberattacks, according to a Nature paper.…
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medicalxpress.com
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…