Unverified50% confidenceFactExact time
A membership inference attack refers to an attacker inferring whether a specific sample was ever involved in model training by observing the model's output for that sample (such as confidence or predicted probability); the typical signal is that the model's confidence on training samples is significantly higher than on non-training samples.
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10/13/2026
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