Package: DPpack 0.2.0

DPpack: Differentially Private Statistical Analysis and Machine Learning

An implementation of common statistical analysis and models with differential privacy (Dwork et al., 2006a) <doi:10.1007/11681878_14> guarantees. The package contains, for example, functions providing differentially private computations of mean, variance, median, histograms, and contingency tables. It also implements some statistical models and machine learning algorithms such as linear regression (Kifer et al., 2012) <https://proceedings.mlr.press/v23/kifer12.html> and SVM (Chaudhuri et al., 2011) <https://jmlr.org/papers/v12/chaudhuri11a.html>. In addition, it implements some popular randomization mechanisms, including the Laplace mechanism (Dwork et al., 2006a) <doi:10.1007/11681878_14>, Gaussian mechanism (Dwork et al., 2006b) <doi:10.1007/11761679_29>, analytic Gaussian mechanism (Balle & Wang, 2018) <https://proceedings.mlr.press/v80/balle18a.html>, and exponential mechanism (McSherry & Talwar, 2007) <doi:10.1109/FOCS.2007.66>.

Authors:Spencer Giddens <[email protected]> with contributions from Fang Liu <[email protected]>

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DPpack.pdf |DPpack.html✨
DPpack/json (API)

Peer review:

Bug tracker:https://github.com/sgiddens/dppack/issues

On CRAN:

45 exports 3 stars 1.03 score 38 dependencies 3 scripts 293 downloads

Last updated 10 hours agofrom:7401779c9f. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:AnalyticGaussianMechanismcalibrateAnalyticGaussianMechanismcovDataAccesscovDPEmpiricalRiskMinimizationDP.CMSEmpiricalRiskMinimizationDP.KSTExponentialMechanismGaussianMechanismgenerate.loss.gr.hubergenerate.loss.hubergenerate.samplinghistogramDataAccesshistogramDPLaplaceMechanismLinearRegressionDPLogisticRegressionDPloss.cross.entropyloss.gr.cross.entropyloss.gr.squared.errorloss.squared.errormapXy.gr.linearmapXy.gr.sigmoidmapXy.linearmapXy.sigmoidmeanDataAccessmeanDPmedianDPphi.gaussianpooledCovDataAccesspooledCovDPpooledVarDataAccesspooledVarDPquantileDataAccessquantileDPregularizer.gr.l2regularizer.l2sdDPsvmDPtableDataAccesstableDPtune_classification_modeltune_linear_regression_modelvarDataAccessvarDPWeightedERMDP.CMS

Dependencies:classclicolorspacedplyre1071fansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmenloptrpillarpkgconfigproxyR6rbibutilsRColorBrewerRdpackrlangrmutilscalestibbletidyselectutf8vctrsviridisLitewithr