calibrateAnalyticGaussianMechanism | Calibrate Analytic Gaussian Mechanism |
covDataAccess | Differentially Private Covariance Data Access Function |
covDP | Differentially Private Covariance |
EmpiricalRiskMinimizationDP.CMS | Privacy-preserving Empirical Risk Minimization for Binary... |
EmpiricalRiskMinimizationDP.KST | Privacy-preserving Empirical Risk Minimization for Regression |
ExponentialMechanism | Exponential Mechanism |
GaussianMechanism | Gaussian Mechanism |
generate.loss.gr.huber | Generator for Huber Loss Function Gradient |
generate.loss.huber | Generator for Huber Loss Function |
generate.sampling | Generator for Sampling Distribution Function for Gaussian... |
histogramDataAccess | Differentially Private Histogram Data Access Function |
histogramDP | Differentially Private Histogram |
LaplaceMechanism | Laplace Mechanism |
LinearRegressionDP | Privacy-preserving Linear Regression |
LogisticRegressionDP | Privacy-preserving Logistic Regression |
loss.cross.entropy | Cross Entropy Loss Function |
loss.gr.cross.entropy | Cross Entropy Loss Function Gradient |
loss.gr.squared.error | Squared error Loss Function Gradient |
loss.squared.error | Squared Error Loss Function |
mapXy.gr.linear | Linear Map Function Gradient |
mapXy.gr.sigmoid | Sigmoid Map Function Gradient |
mapXy.linear | Linear Map Function |
mapXy.sigmoid | Sigmoid Map Function |
meanDataAccess | Differentially Private Mean Data Access Function |
meanDP | Differentially Private Mean |
medianDP | Differentially Private Median |
phi.gaussian | Transform Function for Gaussian Kernel Approximation |
pooledCovDataAccess | Differentially Private Pooled Covariance Data Access Function |
pooledCovDP | Differentially Private Pooled Covariance |
pooledVarDataAccess | Differentially Private Pooled Variance Data Access Function |
pooledVarDP | Differentially Private Pooled Variance |
quantileDataAccess | Differentially Private Quantile Data Access Function |
quantileDP | Differentially Private Quantile |
regularizer.gr.l2 | l2 Regularizer Gradient |
regularizer.l2 | l2 Regularizer |
sdDP | Differentially Private Standard Deviation |
svmDP | Privacy-preserving Support Vector Machine |
tableDataAccess | Differentially Private Contingency Table Data Access Function |
tableDP | Differentially Private Contingency Table |
tune_classification_model | Privacy-preserving Hyperparameter Tuning for Binary... |
tune_linear_regression_model | Privacy-preserving Hyperparameter Tuning for Linear... |
varDataAccess | Differentially Private Variance Data Access Function |
varDP | Differentially Private Variance |
WeightedERMDP.CMS | Privacy-preserving Weighted Empirical Risk Minimization |
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