OpenMined / SyMPC
A SMPC companion library for Syft
☆103Updated this week
Alternatives and similar repositories for SyMPC:
Users that are interested in SyMPC are comparing it to the libraries listed below
- Function Secret Sharing library for Python and Rust with hardware acceleration (PETS '22)☆57Updated last year
- Implementation of protocols in Falcon☆93Updated 9 months ago
- Implementation of protocols in SecureNN.☆129Updated 2 years ago
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- ☆54Updated 3 years ago
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆51Updated 3 years ago
- Materials about Privacy-Preserving Machine Learning☆247Updated 3 months ago
- Private Information Retrieval protocol☆45Updated 4 years ago
- Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters☆140Updated 6 months ago
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- A Cryptographic Inference Service for Neural Networks☆130Updated 9 months ago
- A library for running Functional Encryption on tensors☆44Updated 4 years ago
- ☆36Updated 6 months ago
- ☆67Updated 6 years ago
- A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.☆32Updated 6 years ago
- A Three Party MPC framework for Machine learning and Databases☆210Updated last month
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- ☆421Updated 10 months ago
- A tiny, educational library for secure multi-party computation (in pure Python).☆89Updated 2 years ago
- Semi-honest Two Party Computation Based on Garbled Circuits.☆78Updated 2 years ago
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆112Updated last year
- An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties☆86Updated last year
- Practical Privacy-Preserving K-means Clustering (PETS-2020)☆34Updated 3 years ago
- Efficient Batched Oblivious PRF with Applications to Private Set Intersection (CCS 2016)☆82Updated 2 years ago
- C++ OT extension implementation☆127Updated 4 years ago
- Fast Privacy-Preserving Machine Learning on the GPU☆82Updated 3 years ago
- ☆104Updated 3 years ago
- Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …☆56Updated 10 months ago
- Client/Server framework for encrypted machine learning using homomorphic encryption☆42Updated 3 years ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆39Updated 5 years ago