<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Easy Differential Privacy</dc:title>
  <dc:title>R package diffpriv version 0.4.2</dc:title>
  <dc:subject>CRAN Task View: OfficialStatistics (https://CRAN.R-project.org/view=OfficialStatistics)</dc:subject>
  <dc:description>An implementation of major general-purpose mechanisms for privatizing
    statistics, models, and machine learners, within the framework of differential
    privacy of Dwork et al. (2006) &lt;doi:10.1007/11681878_14&gt;. Example mechanisms
    include the Laplace mechanism for releasing numeric aggregates, and the 
    exponential mechanism for releasing set elements. A sensitivity sampler 
    (Rubinstein &amp; Alda, 2017) &lt;arXiv:1706.02562&gt; permits sampling target 
    non-private function sensitivity; combined with the generic mechanisms, it 
    permits turn-key privatization of arbitrary programs.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.4.0)</dc:relation>
  <dc:relation>Imports: gsl, methods, stats</dc:relation>
  <dc:relation>Suggests: randomNames, testthat, knitr, rmarkdown</dc:relation>
  <dc:creator>Benjamin Rubinstein &lt;brubinstein@unimelb.edu.au&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Benjamin Rubinstein [aut, cre],
  Francesco Aldà [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=diffpriv/LICENSE)</dc:rights>
  <dc:date>2017-07-18</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=diffpriv</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.diffpriv</dc:identifier>
</oai_dc:dc>
