Membership Inference Attack

A privacy attack that attempts to determine whether a specific data point was included in a model's training dataset, by observing differences in how the model behaves on data it has seen versus data it has not. Successful membership inference attacks can reveal sensitive information about training data, such as confirming that a particular person's medical records were used to train a health AI model.