Morten Dahl

awesome-ppml. A curated list of resources for privacy-preserving machine learning

privateml. Various material around private machine learning, some associated with blog

rust-paillier. A pure-Rust implementation of the Paillier encryption scheme

mortendahl.github.io. Blog dedicated to cryptography and machine learning

rust-threshold-secret-sharing. A pure-Rust implementation of various threshold secret sharing schemes

talks. Slides etc.

libpaillier. Fork of libpaillier

awesome-mpc. A curated list of multi party computation resources and links.

private-ai-resources. Private machine learning progress

awesome-production-machine-learning. A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

tf-encrypted. A Framework for Encrypted Machine Learning in TensorFlow

pond. Experimental library for deep learning on encrypted data

awesome-tensorflow. TensorFlow - A curated list of dedicated resources http://tensorflow.org

algoton. Little catalogue of Data structures and Algorithms

frameworks. Sample code and build environments for MPC frameworks

DPP17. Companion repository for DDP'17 paper "Private Data Aggregation on a Budget"

SEAL. Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.

PySyft. A library for encrypted, privacy preserving deep learning

progin. Solutions to problems from PIExposed in Java

private-join-and-compute. C++

secver. Abstract models of cryptographic protocols in Applied-Pi

velibapp. Velib Watch