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
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 |