A class that implements the basic Laplace mechanism of differential privacy, for privatizing numeric vector releases.
# S4 method for DPMechLaplace show(object)
an instance of class
show: automatically prints the object.
non-negative scalar numeric L1 target sensitivity.
Inf for use with
the target non-private function to be privatized, takes lists.
Defaults to a constant function. Laplace mechanism assumes functions that
release numeric vectors of fixed dimension
NA_real_ if inactive, or scalar in [0,1)
indicating that responses must be RDP with specific confidence.
positive scalar numeric dimension of responses. Defaults to
NA_integer_ for use with
sensitivitySampler() which can
target to determine dimension.
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.