Easy Differential Privacy
Fit a Bernstein polynomial approximation.
diffpriv: practical differential privacy in R.
An S4 class for differentially-private mechanisms.
An S4 class for the Bernstein mechanism of differential privacy.
An S4 class for the exponential mechanism of differential privacy.
An S4 class for the Gaussian mechanism of differential privacy.
An S4 class for the Laplace mechanism of differential privacy.
A virtual S4 class for differentially-private numeric mechanisms.
An S4 class for relaxed differential privacy parameters.
An S4 class for basic differential privacy parameters.
An S4 class for random differential privacy parameters.
Evaluate Bernstein approximations on data.
DPMech private release method.
DPMech sensitivity-inducing norm.
Sensitivity sampler for DPMech-class's.
Sensitivity sampler for DPMech-class's.
Sensitivity sampler for DPMech-class.
Sensitivity sampler for DPMechNumeric-class.
Sensitivity sampler for DPMech-class.
Setter for slot delta.
Setter for slot epsilon.
Setter for slot gamma.
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.
Useful links