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:

Fully Homomorphic Encryption:

Fully Homomorphic Encryption stages: encoding, encryption, computation, decryption and decoding.

Deep Learning:

Example of artificial neural networks neuron, with inputs, parameters, and activations.

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:

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}},
}