May 29, 2019 · In this paper we investigate under what conditions stochastic post-processing can amplify the privacy of a mechanism.

In this paper we investigate under what conditions stochastic post-processing can amplify the privacy of a mechanism. By interpreting post-processing as the ...

This work shows how a number of different Markov operators can amplify of the privacy of a DP mechanism when used in post-processing.

A fundamental result in differential privacy states that the privacy guarantees of a mechanism are preserved by any post-processing of its output.

This paper investigates under what conditions stochastic post-processing can amplify the privacy of a mechanism, and gives a series of amplification results ...

Oct 27, 2019 · Abstract. A fundamental result in differential privacy states that the privacy guarantees of a mechanism.

The work gives a collection of results on privacy amplification by postprocessing. The results reveal some interesting connections.

This work studies iterative data analysis using the mathematical theory of diffusion and the mixing of Markov chains. In doing so, the privacy guarantees of the ...

A fundamental result in differential privacy states that the privacy guarantees of a mechanism are preserved by any post-processing of its output.

Jan 1, 2019 · Award ID(s):: 1718220. NSF-PAR ID: 10182602. Author(s) / Creator(s):: Balle, Borja; Barthe, Gilles; Gaboardi, Marco; Geumlek, Joseph.