Conference paper
Prima: An end-to-end framework for privacy at scale
Spiros Antonatos, Stefano Braghin, et al.
ICDE 2018
We study the convex polytope of n×n stochastic matrices that define locally ϵ-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.
Spiros Antonatos, Stefano Braghin, et al.
ICDE 2018
Manish Kesarwani, Akshar Kaul, et al.
CLOUD 2021
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IEEE TIFS
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IEEE TNSM