secretflow / servingLinks
SecretFlow-Serving is a serving system for privacy-preserving machine learning models.
☆13Updated this week
Alternatives and similar repositories for serving
Users that are interested in serving are comparing it to the libraries listed below
Sorting:
- The repo of Private Set Intersection(PSI) and Private Information Retrieval(PIR) from SecretFlow.☆43Updated last week
- Piranha: A GPU Platform for Secure Computation☆100Updated 2 years ago
- Fast Privacy-Preserving Machine Learning on the GPU☆88Updated 4 years ago
- Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …☆56Updated 4 months ago
- A high-performance homomorphic encryption algorithm library.☆108Updated 3 months ago
- Query compiler for secure multi-party computation.☆99Updated 5 years ago
- SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keepin…☆307Updated this week
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆113Updated 2 years ago
- YACL (Yet Another Common crypto library) is a C++ library that contains cryptography, network and io modules which other SecretFlow code …☆118Updated this week
- ☆57Updated last year
- ☆210Updated 8 months ago
- A portable simplest oblivious transfer library.☆13Updated 7 months ago
- A Cryptographic Inference Service for Neural Networks☆131Updated last year
- Implementation of protocols in SecureNN.☆131Updated 3 years ago
- Function Secret Sharing library for Python and Rust with hardware acceleration (PETS '22)☆57Updated 2 years ago
- ☆108Updated 3 years ago
- Privacy -preserving Neural Networks☆79Updated 6 years ago
- Antchain-MPC is a library of MPC (Multi-Parties Computation)☆59Updated last year
- Private Set Intersection in the Internet Setting From Lightweight Oblivious PRF☆87Updated 3 years ago
- Secure Aggregation for Federated Learning with Malicious Actors☆26Updated 2 years ago
- Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction☆34Updated 4 years ago
- ☆125Updated 2 months ago
- C++ coroutine protocol library.☆12Updated 2 months ago
- Secure Aggregation for FL☆35Updated last year
- Materials about Privacy-Preserving Machine Learning☆258Updated last month
- Efficient Batched Oblivious PRF with Applications to Private Set Intersection (CCS 2016)☆83Updated 3 years ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆37Updated 6 years ago
- Practical Multi-party Private Set Intersection from Symmetric-Key Techniques[ACM CCS 2017]☆101Updated 2 years ago
- ☆30Updated 2 years ago
- 基于可编程不经意伪随机数的多方隐私求交算法库 Programmable Oblivious PRF & multi-party PSI☆26Updated 3 years ago