Journal of Privacy and Confidentiality
Published October 4, 2021 | Version v2021-10-04-jpc
Software Open

Private-PGM

Creators

  • 1. College of Information and Computer Sciences, The University of Massachusets, Amherst, MA

Description

Private-PGM is a post-processing method that is used to estimate a high-dimensional data distribution from noisy measurements of its marginals.

Notes

If you use this software, please cite it using these metadata, as well as the associated publication in the Journal of Privacy and Confidentiality.

Files

journalprivacyconfidentiality/private-pgm-jpc-778-v2021-10-04-jpc.zip

Files (429.5 kB)

Additional details

Related works

Is supplement to
https://github.com/journalprivacyconfidentiality/private-pgm-jpc-778/tree/v2021-10-04-jpc (URL)
Journal article: 10.29012/jpc.778 (DOI)