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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.DPMechLaplace
DPMechGaussian
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.