secure-multi-party-computation
There are 9 repositories under secure-multi-party-computation topic.
- lattigo
tuneinsight / lattigo
A library for lattice-based multiparty homomorphic encryption in Go
Language:Go 1086 - Language:C++ 838
- Language:Python 342
ing-bank / threshold-signatures
Threshold Signature Scheme for ECDSA
Language:Rust 198sine-fdn / tandem
A maliciously secure two-party computation engine which is embeddable and accessible
Language:Rust 156ipc-lab / private-ml-for-health
Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
Language:Python 64NillionNetwork / tinynmc
Minimal pure-Python implementation of a secure multi-party computation (MPC) protocol for evaluating arithmetic sum-of-products expressions via a non-interactive computation phase.
Language:Python 40marcoonroad / spadille
Verifiable/deterministic fair tickets generation for lotteries, raffles and gambling games. :rhinoceros: :four_leaf_clover: :spades: :game_die:
Language:JavaScript 37- Language:C++ 34
PlatONnetwork / proof_of_custody
MPC implementation of proof of custody
Language:C++ 32- Language:Go 30
nthparty / oblivious
Python library that serves as an API for common cryptographic primitives used to implement OPRF, OT, and PSI protocols.
Language:Python 26delta-mpc / delta-docs
Delta Development Documentation
mkucz95 / encrypted_ai_finance
Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning
Language:HTML 21- Language:Java 20
toonsegers / verifiable_mpc
A scheme that produces a zero-knowledge proof of correctness for an MPC computation. The scheme allows anyone, particularly someone external to the secure computation, to check the correctness of the output, while preserving the privacy properties of the MPC protocol.
Language:Python 20sisinflab / recsys2021-pursuing-privacy
Material supporting the tutorial "Pursuing Privacy in Recommender Systems: The View of Users and Researchers from Regulations to Applications" held at the 15th ACM Conference on Recommender Systems in Amsterdam, Netherlands
Language:Jupyter Notebook 18shine813 / Secure-Multi-Party-Computation-Protocol
基于phe库的安全多方计算协议实现
Language:HTML 11A Commitment Scheme library for Coin Flipping/Tossing algorithms and sort. :four_leaf_clover: :camel: :lock: :key:
Language:OCaml 10carbynestack / nettle
Flower-based Privacy-Preserving Federated Learning with secure aggregation using Carbyne Stack
Language:Python 9dai1975 / etude-gg18
try to implement the GG18 paper which describes ECDSA threshold signatures
Language:Rust 9gonzalo-munillag / Privacy_Enhancing_Technologies_Portfolio
This repository contains projects applying privacy-enhancing technologies.
Language:Jupyter Notebook 8khoaguin / ppml-materials
A compiled list of resources and materials for PPML
pengyuan-zhou / Privacy-Preserving-Computation-PaperList
Paper list and relevant material for Privacy-Preserving Computation.
Embedded domain-specific combinator library for the abstract assembly and automated synthesis of logical circuits.
Language:Python 7- Language:Go 6
- Language:Jupyter Notebook 6
applied-crypto-lab / picco
This repository corresponds to the PICCO compiler for secure multi-party computation published in 2013 with more recent efficiency improvements.
Language:C 5cicada-mpc / cicada-mpc
Fault-tolerant secure multiparty computation in Python.
Language:Python 5Delta node receives Delta tasks, distributes them across the network and executes tasks from the network.
Language:Python 5Franc-Zar / Hyperledger-Fabric-MPC-sample
Simple Hyperledger Fabric-MPC sample application demo
Language:Shell 5Data structure for representing additive secret shares of integers, designed for use within secure multi-party computation (MPC) protocol implementations.
Language:Python 5A scheme to implement finite groups as oblivious data structures. The oblivious operations are defined by a set of secure multiparty computation (MPC) protocols. Practical protocols are presented for the group of quadratic residues, elliptic curves groups and class groups of imaginary quadratic orders.
Language:Python 4ramesht007 / Secure_Multi_Party_computation
My notes for secure multi party computation. Still in progress.......................
datakaveri / iudx-MOTION2NX
Extension of the MOTION2NX framework to implement neural network inferencing task where the data is supplied to the “secure compute servers” by the “data providers”.
Language:C++ 2KULeuven-COSIC / Eevee
The Eevee Family of AEAD modes for IoT-friendly encryption and MPC-friendly decryption
Language:C 2
