diffpriv (0.4.2)

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Easy Differential Privacy.


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.

Maintainer: Benjamin Rubinstein
Author(s): Benjamin Rubinstein [aut, cre], Francesco Ald [aut]

License: MIT + file LICENSE

Uses: gsl, testthat, randomNames, knitr, rmarkdown

Released 11 months ago.



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