Managing Differential Privacy in Large-Scale Systems

A tool for remote experiment management

autodp: A flexible and easy-to-use package for differential privacy

Diffprivlib: The IBM Differential Privacy Library

PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.

The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy