Gaussian returns a Noise instance that adds Gaussian noise to its input.

Laplace returns a Noise instance that adds Laplace noise to its input.

SigmaForGaussian calculates the standard deviation σ of Gaussian noise needed to achieve (ε,δ)-approximate differential privacy.

ToKind converts a Noise instance into a Kind.

ToNoise converts a Kind into a Noise instance.

Noise distributions used to achieve Differential Privacy.

Noise distributions used to achieve Differential Privacy.

Noise distributions used to achieve Differential Privacy.

ConfidenceInterval holds lower and upper bounds as float64 for the confidence interval.

Noise is an interface for primitives that add noise to data to make it differentially private.

Kind is an enum type.