A base class for representing output-perturbing mechanisms in differential
privacy. As this class is VIRTUAL
it cannot be instantiated, but it can
be subclassed.
sensitivity
non-negative scalar numeric target sensitivity. Defaults
to Inf
for use with sensitivitySampler()
.
target
the target non-private function to be privatized, takes lists. Defaults to a constant function.
gammaSensitivity
NA_real_
if inactive, or scalar in [0,1)
indicating that responses must be RDP with specific confidence.
Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith. "Calibrating noise to sensitivity in private data analysis." In Theory of Cryptography Conference, pp. 265-284. Springer Berlin Heidelberg, 2006.
DPMechLaplace
subclass for the Laplace mechanism.