calibrateAnalyticGaussianMechanism: Calibrate Analytic Gaussian Mechanism
In DPpack: Differentially Private Statistical Analysis and Machine Learning
View source: R/AnalyticGaussianMechanismUtils.R
calibrateAnalyticGaussianMechanism R Documentation
Calibrate Analytic Gaussian Mechanism
Description
Calibrate a Gaussian perturbation for differential privacy using the analytic
Gaussian mechanism \insertCiteBalle2018DPpack.
Usage
calibrateAnalyticGaussianMechanism(epsilon, delta, sensitivity, tol = 1e-12)
Arguments
epsilon
Positive real number defining the epsilon privacy parameter.
delta
Positive real number defining the delta privacy parameter.
sensitivity
Real number corresponding to the l2-global sensitivity.
tol
Error tolerance for binary search.
Value
Standard deviation of Gaussian noise needed to achieve
(epsilon, delta)-DP for given global sensitivity.
References
\insertRefBalle2018DPpack
DPpack documentation built on Oct. 20, 2024, 9:07 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/AnalyticGaussianMechanismUtils.R
| calibrateAnalyticGaussianMechanism | R Documentation |
Calibrate Analytic Gaussian Mechanism
Description
Calibrate a Gaussian perturbation for differential privacy using the analytic Gaussian mechanism \insertCiteBalle2018DPpack.
Usage
calibrateAnalyticGaussianMechanism(epsilon, delta, sensitivity, tol = 1e-12)
Arguments
epsilon |
Positive real number defining the epsilon privacy parameter. |
delta |
Positive real number defining the delta privacy parameter. |
sensitivity |
Real number corresponding to the l2-global sensitivity. |
tol |
Error tolerance for binary search. |
Value
Standard deviation of Gaussian noise needed to achieve
(epsilon, delta)-DP for given global sensitivity.
References
\insertRefBalle2018DPpack
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.