Understanding Membership Inferences on Well-Generalized Learning Models

13 Feb 2018Yunhui LongVincent BindschaedlerLei WangDiyue BuXiaofeng WangHaixu TangCarl A. GunterKai Chen

Membership Inference Attack (MIA) determines the presence of a record in a machine learning model's training data by querying the model. Prior work has shown that the attack is feasible when the model is overfitted to its training data or when the adversary controls the training algorithm... (read more)

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