Struct DiffPrivacyProof 

pub struct DiffPrivacyProof {
    pub epsilon: f64,
    pub delta: f64,
    pub mechanism: NoiseMechanism,
    pub sensitivity: f64,
    pub clipping_norm: f64,
    pub noise_scale: f64,
    pub noised_parameter_count: u64,
}

Differential privacy attestation.

Records the privacy parameters and noise applied during export.

Fields

epsilon: f64

Privacy loss parameter.

delta: f64

Probability of privacy failure.

mechanism: NoiseMechanism

Noise mechanism applied.

sensitivity: f64

L2 sensitivity bound used for noise calibration.

clipping_norm: f64

Gradient clipping norm.

noise_scale: f64

Noise scale (sigma for Gaussian, b for Laplace).

noised_parameter_count: u64

Number of parameters that had noise added.

Implementations

impl DiffPrivacyProof

pub fn gaussian( epsilon: f64, delta: f64, sensitivity: f64, clipping_norm: f64, ) -> Self

Create a new proof for Gaussian mechanism.

pub fn laplace(epsilon: f64, sensitivity: f64, clipping_norm: f64) -> Self

Create a new proof for Laplace mechanism.

Trait Implementations

impl Clone for DiffPrivacyProof

fn clone(&self) -> DiffPrivacyProof

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DiffPrivacyProof

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for DiffPrivacyProof

fn eq(&self, other: &DiffPrivacyProof) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for DiffPrivacyProof