Privacy on Beam is an end-to-end differential privacy solution built on Apache Beam. It is intended to be usable by all developers, regardless of their differential privacy expertise.
Internally, Privacy on Beam relies on the lower-level building blocks from the differential privacy library and combines them into an “out-of-the-box” solution that takes care of all the steps that are essential to differential privacy, including noise addition, partition selection, and contribution bounding. Thus, rather than using the lower-level differential privacy library, it is recommended to use Privacy on Beam, as it can reduce implementation mistakes.
Privacy on Beam is only available in Go at the moment.
Note that this work is still experimental, as well as the Go SDK for Beam, and is subject to change.
Our codelab about computing private statistics with Privacy on Beam demonstrates how to use the library. Source code for the codelab is available in the codelab/ directory.
Full documentation of the API is available as godoc.