aby3
MPC framework
An implementation of a three-party MPC framework for secure machine learning and database operations
A Three Party MPC framework for Machine learning and Databases
202 stars
11 watching
55 forks
Language: TeX
last commit: 10 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 adrianosela/multikey | A cryptographic framework for managing secrets with complex access rules | 6 |
 luzifer/ots | An application that securely shares and stores one-time secrets using symmetric AES encryption. | 463 |
 snipsco/rust-threshold-secret-sharing | A Rust library for implementing threshold secret sharing schemes with efficient share generation and reconstruction. | 159 |
 ssbc/secret-stack | A framework for creating decentralized systems with secure peer-to-peer connections using secret handshakes. | 90 |
 b3nk4n/tensorlight | A high-level framework for machine intelligence applications using TensorFlow. | 11 |
 yechengxi/lightnet | A Matlab-based framework for building and training deep learning models | 270 |
 encryptogroup/aby | A framework for efficient mixed-protocol secure two-party computation | 464 |
 google-research/visu3d | An abstraction layer between various deep learning frameworks and your program. | 147 |
 initc3/honeybadgermpc | A Python-based toolkit for computing on secret data in a blockchain network with robust confidentiality guarantees. | 133 |
 rpgeeganage/ots-share-app | An app to securely share secrets only once, using encryption and a limited-time link | 59 |
 ganyuwang/vfl-czofo | A unified framework for improving privacy and reducing communication overhead in distributed machine learning models. | 11 |
 grempe/tss-rb | A Ruby implementation of Threshold Secret Sharing as defined in the IETF Internet-Draft draft-mcgrew-tss-03.txt | 23 |
 ajndkr/lanarky | A Python web framework specifically designed to build LLM microservices with built-in support for FastAPI and streaming capabilities. | 976 |
 bytedance/fedlearner | An open source framework for collaborative machine learning with data distributed across multiple institutions. | 892 |
 abstractsdk/abstract | A modular framework for building secure, composable, and interoperable on-chain applications | 62 |