DPMechGaussian-class | R Documentation |
A class that implements the Gaussian mechanism of differential privacy, for privatizing numeric vector releases.
## S4 method for signature 'DPMechGaussian' show(object)
object |
an instance of class |
show
: automatically prints the object.
sensitivity
non-negative scalar numeric L2 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. Gaussian mechanism assumes functions that
release numeric vectors of fixed dimension dims
.
gammaSensitivity
NA_real_
if inactive, or scalar in [0,1)
indicating that responses must be RDP with specific confidence.
dims
positive scalar numeric dimension of responses. Defaults to
NA_integer_
for use with sensitivitySampler()
which can
probe target
to determine dimension.
Cynthia Dwork and Aaron Roth. "Algorithmic Foundations of Differential Privacy" Foundations and Trends in Theoretical Computer Science. Now Publishers, 2014.
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