Tools for tracking differential privacy budgets
Project description
Privacy Accounting
This directory contains tools for tracking privacy budgets. Currently, it provides an implementation of Privacy Loss Distributions (PLDs) which can help compute an accurate estimate of the total ε, δ across multiple executions of differentially private queries. Our implementation currently supports Laplace Mechanism, Gaussian Mechanism and Randomized Response. A supplementary material with more detailed definitions and references can be found here.
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