Privacy

Federated Personalization is a method of customizing user experiences while protecting their data privacy.

Membership inference is a type of attack that determines if a specific data point was used in training a machine learning model.

A Membership Inference Attack determines if a specific data point was used in training a machine learning model.

A method to extract sensitive data from machine learning models by exploiting their predictions.