facebookresearch / CrypTenLinks
A framework for Privacy Preserving Machine Learning
☆1,618Updated 8 months ago
Alternatives and similar repositories for CrypTen
Users that are interested in CrypTen are comparing it to the libraries listed below
Sorting:
- A Framework for Encrypted Machine Learning in TensorFlow☆1,235Updated 10 months ago
- Training PyTorch models with differential privacy☆1,838Updated last month
- A library for doing homomorphic encryption operations on tensors☆949Updated 5 months ago
- Library for training machine learning models with privacy for training data☆1,973Updated 2 months ago
- A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science☆615Updated 2 years ago
- PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in…☆519Updated last month
- ☆432Updated last year
- A library for Partially Homomorphic Encryption in Python☆626Updated 2 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆529Updated 11 months ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆512Updated 3 weeks ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 5 years ago
- Diffprivlib: The IBM Differential Privacy Library☆880Updated 3 months ago
- Versatile framework for multi-party computation☆1,064Updated last week
- An open-source framework for machine learning and other computations on decentralized data.☆2,393Updated last week
- A SMPC companion library for Syft☆104Updated last month
- Microsoft SEAL 4.X For Python☆339Updated 7 months ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆174Updated 2 years ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆223Updated 2 years ago
- CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allo…☆294Updated last year
- resources about federated learning and privacy in machine learning☆540Updated last year
- Implementation of protocols in SecureNN.☆131Updated 2 years ago
- ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation☆481Updated 3 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆670Updated 3 months ago
- Federated Deep Learning in PaddlePaddle☆510Updated 2 years ago
- Leaf: A Benchmark for Federated Settings☆886Updated 2 years ago
- A Platform for Secure Analytics and Machine Learning☆305Updated 2 years ago
- MPyC: Multiparty Computation in Python☆403Updated last week
- ☆208Updated 5 months ago
- A curated list of resources for privacy-preserving machine learning☆149Updated 3 years ago
- SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keepin…☆296Updated this week