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Inference Attack

2 papers with code · Adversarial

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ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

4 Jun 2018Lab41/cyphercat

Machine learning (ML) has become a core component of many real-world applications and training data is a key factor that drives current progress. In addition, we propose the first effective defense mechanisms against such broader class of membership inference attacks that maintain a high level of utility of the ML model.


Understanding Membership Inferences on Well-Generalized Learning Models

13 Feb 2018BielStela/membership_inference

Membership Inference Attack (MIA) determines the presence of a record in a machine learning model's training data by querying the model. More specifically, we demonstrate that even a well-generalized model contains vulnerable instances subject to a new generalized MIA (GMIA).