facebookresearch / CrypTen
A framework for Privacy Preserving Machine Learning
☆1,587Updated 4 months ago
Alternatives and similar repositories for CrypTen:
Users that are interested in CrypTen are comparing it to the libraries listed below
- A Framework for Encrypted Machine Learning in TensorFlow☆1,224Updated 6 months ago
- A library for doing homomorphic encryption operations on tensors☆901Updated last month
- Training PyTorch models with differential privacy☆1,773Updated this week
- PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in…☆504Updated 7 months ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆510Updated 6 months ago
- A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science☆615Updated 2 years ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆504Updated last year
- Library for training machine learning models with privacy for training data☆1,960Updated last week
- An open-source framework for machine learning and other computations on decentralized data.☆2,362Updated this week
- ☆420Updated 9 months ago
- A library for Partially Homomorphic Encryption in Python☆613Updated last year
- Diffprivlib: The IBM Differential Privacy Library☆855Updated 2 weeks ago
- CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allo…☆289Updated 8 months ago
- Microsoft SEAL 4.X For Python☆332Updated 3 months ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆225Updated 2 years ago
- resources about federated learning and privacy in machine learning☆532Updated 9 months ago
- ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation☆475Updated 3 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆712Updated 8 months ago
- Federated Deep Learning in PaddlePaddle☆502Updated last year
- A Privacy-Preserving Framework Based on TensorFlow☆555Updated 2 years ago
- Leaf: A Benchmark for Federated Settings☆875Updated 2 years ago
- This repository is a fork of Microsoft Research's homomorphic encryption implementation, the Simple Encrypted Arithmetic Library (SEAL). …☆229Updated 5 years ago
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- Versatile framework for multi-party computation☆998Updated this week
- A SMPC companion library for Syft☆102Updated 4 months ago
- SOON TO BE DEPRECATED - Private machine learning progress☆470Updated 4 years ago
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆1,947Updated 2 years ago
- Materials about Privacy-Preserving Machine Learning☆245Updated last month
- MPyC: Multiparty Computation in Python☆392Updated 2 months ago
- A Three Party MPC framework for Machine learning and Databases☆210Updated 2 weeks ago