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
sensitivity
non-negative scalar numeric target sensitivity. Defaults to
Inf
for use withsensitivitySampler()
.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.
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]