Qianqian-Wang-1997 / 2019Summer_SecureML
SecureML Introduction
☆11Updated last year
Alternatives and similar repositories for 2019Summer_SecureML:
Users that are interested in 2019Summer_SecureML are comparing it to the libraries listed below
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆39Updated 5 years ago
- Repository for collection of research papers on multi-party learning.☆32Updated last year
- Implementation of protocols in SecureNN.☆128Updated 2 years ago
- ☆36Updated 2 months ago
- Paper Notes in MPC with Applications to PPML☆64Updated 9 months ago
- an implementation of CryptoNets☆11Updated 6 years ago
- Private Decision Tree Evaluation protocols☆11Updated 4 years ago
- pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.☆17Updated 5 months ago
- Implementation of protocols in Falcon☆93Updated 5 months ago
- Implementation of protocols in the paper titled "Scalable Multi-Party Computation Protocols for Machine Learning in the Honest-Majority S…☆15Updated 3 months ago
- Input scripts for securely evaluating quantized ImageNet models with mp-spdz☆20Updated 4 years ago
- Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs☆10Updated last year
- A framework for generic hybrid two-party computation and private inference with neural networks☆30Updated last year
- ☆66Updated 6 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Updated 5 years ago
- This repository provides python code for privacy preserving image classification based on fully homomorphic encryption (FHE).☆13Updated 5 years ago
- FudanMPL 2.0, a series of multi-party learning frameworks, with rich features, including secure and fast XGBoost, secure Fine-tuning for …☆47Updated this week
- ☆28Updated 2 years ago
- Fast Privacy-Preserving Machine Learning on the GPU☆79Updated 3 years ago
- Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …☆56Updated 6 months ago
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆114Updated last year
- Our first MPC program (aka: MP-SPDZ by a dummy)☆12Updated last year
- Efficient Batched Oblivious PRF with Applications to Private Set Intersection (CCS 2016)☆82Updated 2 years ago
- Efficient Secure Computation Protocols for Trigonometric Functions via Function Secret Sharing☆18Updated 2 years ago
- A Python implementation of CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy☆30Updated 4 years ago
- Materials about Privacy-Preserving Machine Learning☆234Updated 6 months ago
- Private Set Union☆14Updated 2 years ago
- Function Secret Sharing for Secure Thresholded Distance Metric Evaluation. The code accompanying the paper.☆13Updated last month
- Homomorphic matrix computation☆41Updated 5 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆67Updated 4 years ago