DreamingRaven / python-fhez
Official mirror of Python-FHEz; Python Fully Homomorphic Encryption (FHE) Library for Encrypted Deep Learning as a Service (EDLaaS).
☆29Updated 2 years ago
Alternatives and similar repositories for python-fhez:
Users that are interested in python-fhez are comparing it to the libraries listed below
- Privacy-preserving XGBoost Inference☆48Updated last year
- PriMIA: Privacy-preserving Medical Image Analysis☆130Updated last year
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- Homomorphic Random Forest library☆16Updated last year
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- ☆23Updated last year
- pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.☆31Updated this week
- A SMPC companion library for Syft☆101Updated 2 months ago
- The HyFed framework provides an easy-to-use API to develop federated, privacy-preserving machine learning algorithms.☆17Updated 2 years ago
- ☆43Updated 3 years ago
- Privacy-Preserving Machine Learning (PPML) Tutorial☆37Updated 7 months ago
- Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference☆48Updated 3 years ago
- Federated Learning Utilities and Tools for Experimentation☆186Updated last year
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆172Updated 2 years ago
- A dead-simple library for full homomorphic encryption (FHE) in Python☆32Updated 3 years ago
- (ICLR 2023 Spotlight) MPCFormer: fast, performant, and private transformer inference with MPC☆90Updated last year
- A Simulator for Privacy Preserving Federated Learning☆93Updated 4 years ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆26Updated 6 months ago
- Privacy Preserving Vertical Federated Learning☆217Updated last year
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆95Updated last month
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆77Updated 6 months ago
- A mathematical and code introduction to the BFV Homomorphic Encryption scheme.☆38Updated 2 years ago
- Materials about Privacy-Preserving Machine Learning☆234Updated last week
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆50Updated 4 months ago
- ☆38Updated 2 years ago
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆274Updated last week
- Compiler for the SEAL homomorphic encryption library☆232Updated 6 months ago
- Python language bindings for smartnoise-core.☆75Updated last year
- CUDA-accelerated Fully Homomorphic Encryption Library☆219Updated 3 years ago