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) <doi:10.1007/11681878_14>. Example mechanisms include the Laplace mechanism for releasing numeric aggregates, and the exponential mechanism for releasing set elements. A sensitivity sampler (Rubinstein & Alda, 2017) <arXiv:1706.02562> permits sampling target non-private function sensitivity; combined with the generic mechanisms, it permits turn-key privatization of arbitrary programs.
Version: | 0.4.2 |
Depends: | R (≥ 3.4.0) |
Imports: | gsl, methods, stats |
Suggests: | randomNames, testthat, knitr, rmarkdown |
Published: | 2017-07-18 |
Author: | Benjamin Rubinstein [aut, cre], Francesco Aldà [aut] |
Maintainer: | Benjamin Rubinstein <brubinstein at unimelb.edu.au> |
BugReports: | https://github.com/brubinstein/diffpriv/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/brubinstein/diffpriv, http://brubinstein.github.io/diffpriv |
NeedsCompilation: | no |
Citation: | diffpriv citation info |
Materials: | README NEWS |
In views: | OfficialStatistics |
CRAN checks: | diffpriv results |
Reference manual: | diffpriv.pdf |
Vignettes: |
bernstein diffpriv |
Package source: | diffpriv_0.4.2.tar.gz |
Windows binaries: | r-devel: diffpriv_0.4.2.zip, r-release: diffpriv_0.4.2.zip, r-oldrel: diffpriv_0.4.2.zip |
macOS binaries: | r-release (arm64): diffpriv_0.4.2.tgz, r-oldrel (arm64): diffpriv_0.4.2.tgz, r-release (x86_64): diffpriv_0.4.2.tgz, r-oldrel (x86_64): diffpriv_0.4.2.tgz |
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