Function opendp::measurements::then_geometric

pub fn then_geometric<D: 'static + GeometricDomain<QO>, QO: 'static>(
    scale: QO,
    bounds: Option<(<D::InputMetric as Metric>::Distance, <D::InputMetric as Metric>::Distance)>
) -> PartialMeasurement<D, D::Carrier, D::InputMetric, MaxDivergence<QO>>where
    (D, D::InputMetric): MetricSpace,

Expand description

Equivalent to make_laplace but restricted to an integer support. Can specify bounds to run the algorithm in near constant-time.

§Citations

GRS12 Universally Utility-Maximizing Privacy Mechanisms

§Arguments

input_domain - Domain of the data type to be privatized.
input_metric - Metric of the data type to be privatized.
scale - Noise scale parameter for the distribution. scale == standard_deviation / sqrt(2).
bounds - Set bounds on the count to make the algorithm run in constant-time.

§Arguments

D - Domain of the data type to be privatized. Valid values are VectorDomain<AtomDomain<T>> or AtomDomain<T>
QO - Data type of the scale and output distance