Function opendp::measurements::make_base_discrete_laplace_cks20_rug

source ·

pub fn make_base_discrete_laplace_cks20_rug<D>(
    scale: Rational
) -> Fallible<Measurement<D, D::Carrier, D::InputMetric, MaxDivergence<Rational>>>where
    D: DiscreteLaplaceDomain<Atom = Integer>,
    (D, D::InputMetric): MetricSpace,

Expand description

Make a Measurement that adds noise from the discrete_laplace(scale) distribution to the input, directly using bignum types from rug.

Set D to change the input data type and input metric:

`D`	input type	`D::InputMetric`
`AtomDomain<Integer>` (default)	`Integer`	`AbsoluteDistance<Integer>`
`VectorDomain<AtomDomain<Integer>>`	`Vec<Integer>`	`L1Distance<Integer>`

Citations

CKS20 The Discrete Gaussian for Differential Privacy

Arguments

scale - Noise scale parameter for the laplace distribution. scale == sqrt(2) * standard_deviation.

Generics

D - Domain of the data type to be privatized. Valid values are VectorDomain<AtomDomain<Integer>> or AtomDomain<Integer>