tapas.attacks.shadow_modelling

Parent class for launching a membership inference attack on the output of a generative model.

Classes

ShadowModellingAttack(classifier[, label])

Shadow-modelling attacks simulate the dataset generation process, using auxiliary information available to the attacker, and train a classifier (here, a set classifier) to predict a property of the training dataset from the synthetic dataset.