lzf-win's Stars
inspire-lab/CryptoDL
Privacy-preserving Deep Learning based on homomorphic encryption (HE)
microsoft/CryptoNets
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic E
youben11/encrypted-evaluation
Client/Server framework for encrypted machine learning using homomorphic encryption
OpenMined/TenSEAL
A library for doing homomorphic encryption operations on tensors
K-miran/HEMat
Homomorphic matrix computation
tf-encrypted/tf-encrypted
A Framework for Encrypted Machine Learning in TensorFlow
jonaschn/awesome-he
✨ Awesome - A curated list of amazing Homomorphic Encryption libraries, software and resources
LatticeX-Foundation/Rosetta
A Privacy-Preserving Framework Based on TensorFlow
zama-ai/concrete-ml
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
microsoft/EVA
Compiler for the SEAL homomorphic encryption library
MarbleHE/HECO
Optimizing compiler for Fully Homomorphic Encryption (FHE)
raminmh/CfC
Closed-form Continuous-time Neural Networks
mlech26l/ncps
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
public-apis/public-apis
A collective list of free APIs