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DifferentialPrivacyEngine

ferrox_logger::dp

Struct DifferentialPrivacyEngine 

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pub struct DifferentialPrivacyEngine;
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Differential Privacy Engine using Laplace distribution noise sampling

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impl DifferentialPrivacyEngine

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pub fn laplace_sample(scale: f64) -> f64

Generates a noise sample from a Laplace distribution with scale $b = \Delta f / \epsilon$

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pub fn sanitize_metric(value: f64, epsilon: f64, sensitivity: f64) -> f64

Adds Laplace noise to a numerical telemetry metric to preserve $(\epsilon, \delta)$-privacy

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