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diffpriv
View on CRAN: Click
here
Download and install diffpriv package within the R console
Install from CRAN:
install.packages("diffpriv")
Install from Github:
library("remotes")
install_github("cran/diffpriv") Install by package version:
library("remotes")
install_version("diffpriv", "0.4.2") Attach the package and use:
library("diffpriv")
Maintained by
Benjamin Rubinstein
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-18
Latest Update: 2017-07-18
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) . Example mechanisms
include the Laplace mechanism for releasing numeric aggregates, and the
exponential mechanism for releasing set elements. A sensitivity sampler
(Rubinstein & Alda, 2017) permits sampling target
non-private function sensitivity; combined with the generic mechanisms, it
permits turn-key privatization of arbitrary programs.
How to cite:
Benjamin Rubinstein (2017). diffpriv: Easy Differential Privacy. R package version 0.4.2, https://cran.r-project.org/web/packages/diffpriv. Accessed 05 Jun. 2026.
Previous versions and publish date:
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Complete documentation for diffpriv
Functions, R codes and Examples using
the diffpriv R package
Some associated functions: DPMech-class . DPMechBernstein-class . DPMechExponential-class . DPMechGaussian-class . DPMechLaplace-class . DPMechNumeric-class . DPParamsDel-class . DPParamsEps-class . DPParamsGam-class . bernstein . diffpriv . predict.bernstein . releaseResponse . sensitivityNorm . sensitivitySampler-DPMech-function-numeric-method . sensitivitySampler . sensitivitySamplerManual-DPMech-function-numeric-numeric-numeric-method . sensitivitySamplerManual-DPMechNumeric-function-numeric-numeric-numeric-method . sensitivitySamplerManual . setDelta-set . setEpsilon-set . setGamma-set .
Some associated R codes: bernstein_mechanism.R . bernstein_polynomials.R . diffpriv.R . exponential_mechanism.R . gaussian_mechanism.R . laplace_mechanism.R . mechanisms.R . numeric_mechanism.R . privacy_params.R . sensitivity_sampler.R . utils.R . Full diffpriv package functions and examples
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