secretflow / secretpad
SecretPad is a privacy-preserving computing web platform based on the Kuscia framework, designed to provide easy access to privacy-preserving data intelligence and machine learning functions.
☆44Updated 3 months ago
Alternatives and similar repositories for secretpad:
Users that are interested in secretpad are comparing it to the libraries listed below
- SCQL (Secure Collaborative Query Language) is a system that allows multiple distrusting parties to run joint analysis without revealing …☆150Updated this week
- Kuscia(Kubernetes-based Secure Collaborative InfrA) is a K8s-based privacy-preserving computing task orchestration framework.☆97Updated last week
- SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keepin…☆284Updated last week
- ☆227Updated last month
- A high-performance homomorphic encryption algorithm library.☆95Updated last week
- Interconnection Protocol☆14Updated 5 months ago
- ☆202Updated 2 months ago
- YACL (Yet Another Common crypto library) is a C++ library that contains cryptography, network and io modules which other SecretFlow code …☆103Updated this week
- The repo of Private Set Intersection(PSI) and Private Information Retrieval(PIR) from SecretFlow.☆33Updated this week
- Private set intersection implemented in Python☆101Updated 2 years ago
- Solution for deploying and managing end-to-end federated learning workflows☆54Updated this week
- PrimiHub platform is a Muti-Party Computation and Muti-Party federated task security scheduling platform for MPC and FL point to point se…☆117Updated 5 months ago
- Delta Development Documentation☆24Updated last year
- 本仓库用于展示北京金融科技产业联盟(Beijing FinTech Industry Alliance)数据专委会隐私计算互联互通课题组研究成果☆17Updated 4 months ago
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆112Updated last year
- WeFe ( WeLab Federated Learning ) 是 Welab 汇立集团子公司[天冕科技](https://www.tianmiantech.com )发起的开源项目,为联邦学习生态系统提供了一套好用的可靠的企业级联邦学习平台。☆138Updated last week
- A scalable, high-performance serving system for federated learning models☆138Updated 4 months ago
- ☆115Updated last year
- HIGHFLIP: An easy way to bridge different federal learning platforms☆19Updated last year
- HEhub is a library for homomorphic encryption and its applications, and is part of the PrimiHub project.☆91Updated 2 years ago
- A Three Party MPC framework for Machine learning and Databases☆210Updated last month
- ☆56Updated last year
- Private Set Intersection in the Internet Setting From Lightweight Oblivious PRF☆86Updated 2 years ago
- A repository for private set intersection.☆180Updated 4 months ago
- A Simple High Performance Computing Framework for [Federated] Machine Learning☆240Updated 3 months ago
- FATE's Visualization Toolkit☆104Updated 3 months ago
- An implementation of (Unbalanced, Labeled) Private Set Intersection based on homomorphic encryption using Microsoft SEAL.☆29Updated 5 years ago
- TeeApps contain a general framework for developing TEE applications and various application implementations used in federated AI/BI.☆14Updated 2 weeks ago
- Implementations of Private Set Intersection Protocols☆179Updated 2 years ago
- Efficient Private Set Intersection base on VOLE☆126Updated last month