observational audit
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Researchers propose observational audit to detect label leakage in machine learning models
A new observational auditing framework lets testers detect whether machine learning models leak training labels without altering training data, using proxy labels and attacker-based tests; experiments on image and click datasets showed tighter privacy settings reduced leakage.
