OpenMined

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.

data science on data without acquiring a copy

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

A SMPC companion library for Syft

Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters

A place where our community can discuss OpenMined Courses, including posting questions, sharing feedback, or providing comments for discussion!

A privacy-preserving app for comparing last-known locations of coronavirus patients