MOTION

MPC framework

A framework for secure multi-party computation

An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties

GitHub

86 stars
11 watching
40 forks
Language: C++
last commit: over 1 year ago
cmakecryptographyfibersgarbled-circuitsmpcmultiparty-computationoblivious-transferot-extensionprivacyprivacy-enhancing-technologiessecret-sharingsecure-computationsmpc

Related projects:

Repository Description Stars
data61/mp-spdz A framework for evaluating and benchmarking secure multi-party computation protocols 958
mpc-sok/frameworks A collection of sample programs and build environments for various secure multi-party computation frameworks. 491
markspanbroek/nimpc An MPC library that enables secure joint computations among multiple parties without revealing their inputs 9
multiparty/jiff A JavaScript library enabling secure multi-party computation in web applications 262
mpc-msri/ezpc A software framework for secure machine learning that provides efficient and scalable computation protocols for collaborative data analysis 406
unboundsecurity/blockchain-crypto-mpc Protects cryptographic keys and seed secrets using secure multiparty computation 459
encryptogroup/aby A framework for efficient mixed-protocol secure two-party computation 465
sine-fdn/tandem An embeddable multi-party computation engine that enables secure sharing of private data between parties 180
cryptobiu/libscapi Provides high-performance protocols and cryptographic infrastructure for secure multiparty computation 182
aztecprotocol/setup A multi-party computation platform for secure data sharing and processing 31
encryptogroup/psi An implementation of Private Set Intersection protocols for secure data sharing 177
ssbc/secret-stack A framework for creating decentralized systems with secure peer-to-peer connections using secret handshakes. 90
cryptobiu/semi-honest-bmr A C++ implementation of the semi-honest secure BMR protocol for multi-party computation. 5
tf-encrypted/moose A secure distributed dataflow framework for encrypted machine learning and data processing 59
tf-encrypted/tf-encrypted Enables secure machine learning computations in TensorFlow without requiring expertise in cryptography or distributed systems. 1,213