Software Open Access

Private-PGM

McKenna, Ryan; Miklau, Gerome; Sheldon, Daniel


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5548533", 
  "container_title": "Journal of Privacy and Confidentiality", 
  "title": "Private-PGM", 
  "issued": {
    "date-parts": [
      [
        2021, 
        10, 
        4
      ]
    ]
  }, 
  "abstract": "<p>Private-PGM is a post-processing method that is used to estimate a high-dimensional data distribution from noisy measurements of its marginals.</p>", 
  "author": [
    {
      "family": "McKenna, Ryan"
    }, 
    {
      "family": "Miklau, Gerome"
    }, 
    {
      "family": "Sheldon, Daniel"
    }
  ], 
  "volume": "11", 
  "note": "If you use this software, please cite it using these metadata, as well as the associated publication in the Journal of Privacy and Confidentiality.", 
  "version": "v2021-10-04-jpc", 
  "type": "article", 
  "issue": "3", 
  "id": "5548533"
}
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