schoppmp / linreg-mpcLinks
A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.
☆32Updated 6 years ago
Alternatives and similar repositories for linreg-mpc
Users that are interested in linreg-mpc are comparing it to the libraries listed below
Sorting:
- Implementation of protocols in SecureNN.☆129Updated 2 years ago
- Semi-honest Two Party Computation Based on Garbled Circuits.☆78Updated 2 years ago
- (Inactive, see readme) Multiparty computation with SPDZ, MASCOT, and Overdrive offline phases☆222Updated 6 years ago
- Implementation of protocols in Falcon☆93Updated 11 months ago
- ☆37Updated 8 months ago
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- Implementations of Private Set Intersection Protocols☆183Updated 2 weeks ago
- A repository for private set intersection.☆182Updated 6 months ago
- ☆57Updated 3 years ago
- A SMPC companion library for Syft☆103Updated 3 weeks ago
- Library for performing Function Secret Sharing (FSS)☆91Updated 6 years ago
- ☆67Updated 6 years ago
- Oblivious Transfer, Oblivious Transfer Extension and Variations☆172Updated 10 months ago
- ☆182Updated 4 years ago
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆51Updated 4 years ago
- C++ OT extension implementation☆129Updated 4 years ago
- ☆429Updated last year
- Practical Privacy-Preserving K-means Clustering (PETS-2020)☆34Updated 4 years ago
- A Three Party MPC framework for Machine learning and Databases☆211Updated 4 months ago
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- ☆223Updated 5 months ago
- A generic Secure Computation API for garbled circuits, SPDZ, etc.☆21Updated 2 years ago
- Benchmarks for various multi-party computation frameworks☆20Updated 8 months ago
- Efficient Batched Oblivious PRF with Applications to Private Set Intersection (CCS 2016)☆83Updated 2 years ago
- A two-party generator for Vector-OLE correlations.☆29Updated 4 years ago
- ☆20Updated 2 years ago
- Materials about Privacy-Preserving Machine Learning☆250Updated 5 months ago
- Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters☆143Updated 3 weeks ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆39Updated 5 years ago
- Comprehensive Open Source Library for Secure Multiparty Computation☆185Updated last year