2019
Privacy Amplification by Mixing and Diffusion Mechanisms
NeurIPS 2019poster
A fundamental result in differential privacy states that the privacy guarantees of a mechanism are preserved by any post-processing of its output. In this paper we investigate under what conditions stochastic post-processing can amplify the privacy of a mechanism. By interpreting post-processing as…