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We study the convex polytope of n x n stochastic matrices that define locallydifferentially private mechanisms. We first present invariance properties ofthe polytope and results reducing the number of constraints needed to defineit. 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.

Extreme Points of the Local Differential Privacy Polytope