Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy

Chendi Wang, Buxin Su, Jiayuan Ye +2

Differentially private (DP) machine learning algorithms incur many sources of randomness, such as random initialization, random batch subsampling, and shuffling. However, such rand…