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bernstein on: Bernstein approximations
and use of DPMechBernstein for private function
release.S3 constructor and predict()
generic implementation for fitting (non-iterated) Bernstein polynomial
function approximations.DPMechBernstein class implementing the
Bernstein mechanism of Alda and Rubinstein (AAAI’2017), for privately
releasing functions.DPMechLaplaceDPMechGaussian class for the generic
Gaussian mechanism to README, Vignette. Resolves #2releaseResponse() method in
DPMechNumeric. Resolves #1DPMechGaussian class implementing the Gaussian
mechanism, which achieves (epsilon,delta)-differential privacy by adding
Gaussian noise to numeric responses calibrated by L2-norm
sensitivity.DPMechGaussian and
DPMechLaplace underneath a new VIRTUAL class
DPMechNumeric which contains common methods,
dims slot (formerly dim changed because
dim is a special slot for S4).DPMechLaplace objects can now be initialized without
specifying non-private target response dim. In
such cases, the sensitivity sampler will perform an additional
target probe to determine dim.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.