These release notes cover a series of updates across our differential privacy libraries and tools. A key highlight is the introduction of PipelineDP4j, a new end-to-end differential privacy solution …

Differential privacy offers a tradeoff between the accuracy of aggregations over statistical databases (for example, mean) and the chance of learning something about individual records …

Build - Update Protobuf to version 21.12 - Update bazel to version 6.1.1 Python PLD Accounting - Increment minor version of DP accounting library for PyPi release, reflecting improvements in …

This will allow us to ensure we only release the sums which enough people contributed to. In order to anonymously grab the sum and count, we replace the aggregates SUM and COUNT …

Oct 10, 2019 · Hello there, Would it be possible for you to generate a release for differential-privacy? Thanks!

// By default, this method returns an error. Algorithms for which a confidence // interval can feasibly be calculated override this method. Conservatively, // we do not release the error rate …

Workflow file Preparations for v3 release, PLD Mixture of Gaussians updates. Preparations for v3 release, PLD Mixture of Gaussians updates. #224 Summary Usage Workflow file

Java and Go updates in preparation of v3 release. Bazel Tests #86: Commit e9afef2 pushed by jspacek March 8, 2024 14:47 10m 40s go/v3.0.0-pre go/v3.0.0-pre March 8, 2024 14:47 10m …

Java and Go updates in preparation of v3 release. jspacek pushed 1 commit to main • 7126f61…e9afef2 • on Mar 7

* Translated into failure probabilities: perBinFP = 1 - pow (1 - FP, 1/N) * * <p>Since in general the failure probability is very small, we use expm1 and log1p to calculate * this: * * <pre> {@code * …