FudanMPL 2.0, a series of multi-party learning frameworks, with rich features, including secure and fast XGBoost, secure Fine-tuning for pre-trained models, and open source SecureML.
☆57Jan 24, 2026Updated last month
Alternatives and similar repositories for Garnet
Users that are interested in Garnet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repository for collection of research papers on multi-party learning.☆34Aug 9, 2023Updated 2 years ago
- pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.☆18Aug 8, 2024Updated last year
- NFGen: Automatic Non-Linear Function Evaluation Code Generator for General-purpose MPC Platforms☆20Dec 24, 2025Updated 3 months ago
- FLUTE: Fast and Secure Lookup Table Evaluations☆28Apr 15, 2024Updated last year
- Versatile framework for multi-party computation☆1,136Mar 12, 2026Updated last week
- Private and Reliable Neural Network Inference (CCS '22)☆22Jul 11, 2023Updated 2 years ago
- A Three Party MPC framework for Machine learning and Databases☆212Feb 27, 2026Updated 3 weeks ago
- Implementation of protocols in Falcon☆95Jul 30, 2024Updated last year
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆37Oct 1, 2019Updated 6 years ago
- Piranha: A GPU Platform for Secure Computation☆104Apr 2, 2023Updated 2 years ago
- Implementation for the protocols described in https://eprint.iacr.org/2023/1700☆14Jan 9, 2025Updated last year
- 🐳Personal learning about Datawhale's open source course<动手学CV-Pytorch>|Transformer-In-CV🤪 😜☆17Apr 12, 2023Updated 2 years ago
- ☆16Oct 16, 2024Updated last year
- ☆443Jun 19, 2024Updated last year
- SecureML Introduction☆10Aug 12, 2023Updated 2 years ago
- ☆215Feb 25, 2025Updated last year
- Efficient Secure Computation Protocols for Trigonometric Functions via Function Secret Sharing☆20Nov 8, 2022Updated 3 years ago
- ☆16Feb 3, 2022Updated 4 years ago
- Code for the paper: Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions☆11Mar 13, 2024Updated 2 years ago
- Fast Privacy-Preserving Machine Learning on the GPU☆90Jun 17, 2021Updated 4 years ago
- ☆32Jul 12, 2023Updated 2 years ago
- ☆19Jan 12, 2022Updated 4 years ago
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆51Jul 14, 2021Updated 4 years ago
- MCSI☆13Nov 2, 2021Updated 4 years ago
- Private Inference on Transformer☆30Jun 13, 2023Updated 2 years ago
- Code repository for the paper at USENIX Security'24☆37Aug 11, 2024Updated last year
- ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation☆492Feb 22, 2022Updated 4 years ago
- ☆25Apr 22, 2023Updated 2 years ago
- Materials about Privacy-Preserving Machine Learning☆263Feb 2, 2026Updated last month
- A framework for generic hybrid two-party computation and private inference with neural networks☆31Feb 26, 2023Updated 3 years ago
- ☆15Oct 5, 2024Updated last year
- SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keepin…☆317Mar 16, 2026Updated last week
- Function Secret Sharing for Secure Thresholded Distance Metric Evaluation. The code accompanying the paper.☆13Dec 12, 2024Updated last year
- Implementation of protocols in the paper titled "Scalable Multi-Party Computation Protocols for Machine Learning in the Honest-Majority S…☆31Feb 15, 2025Updated last year
- Oblivious Transfer, Oblivious Transfer Extension and Variations☆183Mar 12, 2026Updated last week
- Implementation of protocols in SecureNN.☆131Oct 8, 2022Updated 3 years ago
- 这是一个整合fisco-bcos和springboot的项目☆11Aug 2, 2024Updated last year
- A framework for secure, handy, accurate, and fast transformer inference☆26Aug 29, 2025Updated 6 months ago
- A C++ library containing both easy-to-use lower level bigint/ecgroup interfaces and high-level cryptographical schemes/protocols.☆85Sep 21, 2025Updated 6 months ago