Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting

Samuel Yeom, Irene Giacomelli, Matt Fredrikson +1

Machine learning algorithms, when applied to sensitive data, pose a distinct threat to privacy. A growing body of prior work demonstrates that models produced by these algorithms m…