OpenMined

data science on data without acquiring a copy

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.

A SMPC companion library for Syft

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

Privacy Preserving Vertical Federated Learning

Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters

A privacy preserving NLP framework