Jul 4, 2018 · In this paper we present a general method that recovers and improves prior analyses, yields lower bounds and derives new instances of privacy amplification by ...

In this paper we present a general method that recovers and improves prior analyses, yields lower bounds and derives new instances of privacy amplification by ...

Nov 23, 2018 · In most cases our method also provides optimal constants which are shown to be tight by a generic lower bound (Section 5). Our analysis relies ...

In this paper we present a general method that recovers and improves prior analyses, yields lower bounds and derives new instances of privacy amplification by ...

In this paper we present a general method that recovers and improves prior analyses, yields lower bounds and derives new instances of privacy amplification by ...

This is an f-divergence (in the sense of Csiszár) and therefore satisfies a number of important properties, including joint convexity and data processing ...

This paper carefully studies the privacy amplification effect of subsampling in differential privacy.

Aug 13, 2018 · Borja Balle, Gilles Barthe, Marco Gaboardi: Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences.

Dec 3, 2018 · Balle, Borja, Barthe, Gilles, and Gaboardi, Marco. Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences. Retrieved ...

Our analysis relies on properties of divergences and privacy profiles, together with two additional ingredients. The first ingredient is a novel advanced joint ...