Python-FHEz
Python-FHEz is a privacy-preserving Fully Homomorphic Encryption (FHE) and deep learning library.
Interactive graph example of an FHE compatible neural network:
Deep Learning:
This library is capable of both fully homomorphically encrypting data and processing encrypted cyphertexts without the private keys, thus completely privately.
This library also supports:
advanced serialization of cyphertext objects, for transmission over networks using marshmallow
Hadmard Product cyphertext branching
Cite
Either:
@online{fhez,
author = {George Onoufriou},
title = {Python-FHEz Source Repository},
year = {2021},
url = {https://gitlab.com/DeepCypher/Python-FHEz},
}
Or if you do not have @online support:
@misc{fhez,
author = {George Onoufriou},
title = {Python-FHEz Source Repository},
howpublished = {Github, GitLab},
year = {2021},
note = {\url{https://gitlab.com/DeepCypher/Python-FHEz}},
}
Also See
This is part of a larger body of related together work. We are building similar tools for go (DarkLantern). We are also building fully open-source infastructure to run FHE using the server-client model, as well as offering this as a service to others (DeepCypher GitLab, DeepCypher.me)