Extreme Points of the Local Differential Privacy Polytope
Combinatorics
2016-05-19 v1
Abstract
We study the convex polytope of n x n stochastic matrices that define locally differentially private mechanisms. We first present invariance properties of the polytope and results reducing the number of constraints needed to define it. Our main results concern the extreme points of the polytope. In particular, we completely characterise these for matrices with 1, 2 or n non-zero columns.
Keywords
Cite
@article{arxiv.1605.05510,
title = {Extreme Points of the Local Differential Privacy Polytope},
author = {Naoise Holohan and Douglas J. Leith and Oliver Mason},
journal= {arXiv preprint arXiv:1605.05510},
year = {2016}
}