| DPMech-class {diffpriv} | R Documentation |
An S4 class for differentially-private mechanisms.
Description
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.
Slots
sensitivitynon-negative scalar numeric target sensitivity. Defaults to
Inffor use withsensitivitySampler().targetthe target non-private function to be privatized, takes lists. Defaults to a constant function.
gammaSensitivityNA_real_if inactive, or scalar in [0,1) indicating that responses must be RDP with specific confidence.
References
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.
See Also
DPMechLaplace subclass for the Laplace mechanism.
[Package diffpriv version 0.4.2 Index]