Concrete is a Rust crate (library) meant to abstract away the details of Fully Homomorphic Encryption (FHE) to enable non-cryptographers to build applications that use FHE.

Concrete ML is an open-source toolkit built on top of Concrete Framework. It enables data scientists to automatically turn their machine learning models into their homomorphic equivalent.

Concrete Numpy is a python package that helps data scientists implement machine learning models using a subset of numpy that compile to FHE

TFHE-rs is a pure Rust implementation of TFHE for boolean and small integer arithmetics over encrypted data. It includes:

As an open source company working on Fully Homomorphic Encryption (FHE) and open source cryptographic tools that make protecting privacy easy, we’re happy to start this experimental program to encourage anyone from the community to help us move the space forward.

Topics that don’t need a category, or don’t fit into any other existing category.