Sebastian Dietz’s Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.

Abstract

In the past decade, differential privacy has seen remarkable success as a rigorous and practical formalization of data privacy. This privacy definition and its divergence based relaxations, however, have several acknowledged weaknesses, either in handling composition of private algorithms or in analysing important primitives like