Security · 2h ago
Medical AIs Vulnerable to Data Extraction Attacks
Researchers found that medical diagnosis AI models can be tricked into revealing whether specific individuals' data was used in training. The attack exploits model memorization, raising privacy concerns for sensitive health data. The study highlights a fundamental flaw in current AI training practices.
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This underscores a growing tension between AI performance and patient privacy, as models trained on sensitive data remain vulnerable to membership inference attacks.
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Medical diagnosis AIs can be tricked into telling whose data trained them →
The Register
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