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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. Underrepresented groups may face disproportionately higher risks of having their data compromised, the study indicates. The researchers found these individuals are not accounted for in current risk assessments and call for further mitigation and strict access control.
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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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Medical records could be revealed by AI training-data vulnerability
Hear the biggest stories from the world of science | 24 June 2026
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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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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…