Package: diffpriv
Type: Package
Title: Easy Differential Privacy
Version: 0.4.2
Date: 2017-07-16
Authors@R: c(
    person("Benjamin", "Rubinstein", email = "brubinstein@unimelb.edu.au", role = c("aut", "cre")),
    person("Francesco", "Aldà", email = "francesco.alda@gmail.com", role = "aut"))
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)
        <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.
License: MIT + file LICENSE
Depends: R (>= 3.4.0)
Imports: gsl, methods, stats
URL: https://github.com/brubinstein/diffpriv,
        http://brubinstein.github.io/diffpriv
BugReports: https://github.com/brubinstein/diffpriv/issues
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Encoding: UTF-8
Suggests: randomNames, testthat, knitr, rmarkdown
Collate: 'utils.R' 'bernstein_polynomials.R' 'privacy_params.R'
        'mechanisms.R' 'bernstein_mechanism.R' 'diffpriv.R'
        'exponential_mechanism.R' 'numeric_mechanism.R'
        'gaussian_mechanism.R' 'laplace_mechanism.R'
        'sensitivity_sampler.R'
NeedsCompilation: no
Packaged: 2026-11-03 19:05:24 UTC; root
Author: Benjamin Rubinstein [aut, cre], Francesco Aldà [aut]
Maintainer: Benjamin Rubinstein <brubinstein@unimelb.edu.au>
Config/pak/sysreqs: libgsl0-dev
Repository: https://cranhaven.r-universe.dev
Date/Publication: 2026-11-03 06:02:00 UTC
RemoteUrl: https://github.com/cranhaven/cranhaven.r-universe.dev
RemoteRef: package/diffpriv
RemoteSha: c66e0c12ff6e807bd6c154f6834ce23d57d791ac
RemoteSubdir: diffpriv