Ye-D / PPML-Resource
Materials about Privacy-Preserving Machine Learning
☆242Updated last month
Alternatives and similar repositories for PPML-Resource:
Users that are interested in PPML-Resource are comparing it to the libraries listed below
- Implementation of protocols in Falcon☆93Updated 7 months ago
- A Three Party MPC framework for Machine learning and Databases☆209Updated last year
- Implementation of protocols in SecureNN.☆130Updated 2 years ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆39Updated 5 years ago
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆113Updated last year
- Fast Privacy-Preserving Machine Learning on the GPU☆80Updated 3 years ago
- Paper Notes in MPC with Applications to PPML☆66Updated 11 months ago
- Piranha: A GPU Platform for Secure Computation☆93Updated last year
- ☆31Updated last month
- ☆200Updated 2 weeks ago
- ☆104Updated 3 years ago
- Repository for collection of research papers on multi-party learning.☆32Updated last year
- Private Set Intersection in the Internet Setting From Lightweight Oblivious PRF☆86Updated 2 years ago
- Efficient Private Set Intersection base on VOLE☆125Updated this week
- ☆36Updated 4 months ago
- ☆114Updated 11 months ago
- MPC team of Security Group in HITSZ☆20Updated last week
- ☆67Updated 6 years ago
- FudanMPL 2.0, a series of multi-party learning frameworks, with rich features, including secure and fast XGBoost, secure Fine-tuning for …☆50Updated 2 weeks ago
- Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …☆56Updated 8 months ago
- Efficient Batched Oblivious PRF with Applications to Private Set Intersection (CCS 2016)☆82Updated 2 years ago
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- A framework for generic hybrid two-party computation and private inference with neural networks☆31Updated 2 years ago
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆52Updated 3 years ago
- ☆33Updated last year
- ☆221Updated last month
- pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.☆17Updated 7 months ago
- Oblivious Transfer, Oblivious Transfer Extension and Variations☆169Updated 6 months ago
- A repository for private set intersection.☆180Updated 2 months ago
- ☆418Updated 8 months ago