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CITATION.cff
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CITATION.cff
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cff-version: 1.2.0
message: "If you use this software, please cite it using these metadata, as well as the associated publication in the Journal of Privacy and Confidentiality."
abstract: "Private-PGM is a post-processing method that is used to estimate a high-dimensional data distribution from noisy measurements of its marginals. "
authors:
- family-names: "McKenna"
given-names: "Ryan"
affiliation: "College of Information and Computer Sciences, The University of Massachusets, Amherst, MA"
- family-names: "Miklau"
given-names: "Gerome"
affiliation: "College of Information and Computer Sciences, The University of Massachusets, Amherst, MA"
- family-names: "Sheldon"
given-names: "Daniel"
affiliation: "College of Information and Computer Sciences, The University of Massachusets, Amherst, MA"
title: "Private-PGM"
version: "v2021-10-04-jpc"
date-released: 2021-10-04
license: "Apache-2.0"
url: "https://github.com/journalprivacyconfidentiality/private-pgm-jpc-778/tree/v2021-10-04-jpc"