Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models -- A review and challenges for practice
Synthetic data generators, when trained using privacy-preserving techniques like differential privacy, promise to produce synthetic data with formal privacy guarantees, facilitating the sharing of sensitive data. However, it is crucial to empirically assess …