analyticGaussianMechanism: Calculated sigma for analytic Gaussian mechanism
In difuture-lmu/dsROCGLM: ROC and calibration analysis for DataSHIELD
analyticGaussianMechanism R Documentation
Calculated sigma for analytic Gaussian mechanism
Description
Caluclates the minimal valid sigma for given privacy parameters for Gaussian mechanism
(see https://arxiv.org/abs/1805.06530).
Usage
analyticGaussianMechanism(epsilon, delta, sens, tol = 1e-12)
Arguments
epsilon
('numeric()') Epsilon > 0
delta
('numeric()') Delta that is between (0,1)
sens
('numeric()') Sensitivity of the algorithm
tol
('numeric()') Tolerance for binary search
Value
('numeric()') Sigma that can be used to generate calibrated Gaussian noise
Author(s)
Raphael Rehms
difuture-lmu/dsROCGLM documentation built on March 24, 2024, 1:07 p.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.
| analyticGaussianMechanism | R Documentation |
Calculated sigma for analytic Gaussian mechanism
Description
Caluclates the minimal valid sigma for given privacy parameters for Gaussian mechanism (see https://arxiv.org/abs/1805.06530).
Usage
analyticGaussianMechanism(epsilon, delta, sens, tol = 1e-12)
Arguments
epsilon |
('numeric()') Epsilon > 0 |
delta |
('numeric()') Delta that is between (0,1) |
sens |
('numeric()') Sensitivity of the algorithm |
tol |
('numeric()') Tolerance for binary search |
Value
('numeric()') Sigma that can be used to generate calibrated Gaussian noise
Author(s)
Raphael Rehms
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.