George Theodorakopoulos

Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models

Models leak information about their training data. This enables attackers to infer sensitive information about their training sets, notably determine if a data sample was part of the model’s training set. The existing works empirically show the possibility of these membership inference (tracing) att…