Drynx is a library for simulating a privacy-preserving and verifiable data sharing/querying tool. It offers a series of independent protocols that when combined offer a verifiably-secure and safe way to compute statistics and train basic machine learning models on distributed sensitive data (e.g., medical data).
This is a fork of LDS drynx, this is what is officially running at C4DT. It has some stabilising features that are being merged upstream:
- datasets loaders, found in
lib/provider/loaders- one keeping the upstream behavior of randomly generating data
- one file based, reading CSV values and populating the Data Provider with it
- CLI interface, found in
cmdserverto run a Drynx nodeclientto communicate from the command line with the nodes
- some others changes
- allow to select which column to query
- splits of some structures to allow for dedis/protobuf auto-generation
- docker image for the server
- some revamp of operation to more modularise them