shine813 / Secure-Multi-Party-Computation-Protocol
基于phe库的安全多方计算协议实现
☆12Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Secure-Multi-Party-Computation-Protocol
- Paper Notes in MPC with Applications to PPML☆65Updated 7 months ago
- Repository for collection of research papers on multi-party learning.☆30Updated last year
- A secure aggregation system for private federated learning☆36Updated 5 months ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆29Updated last year
- 基于同态加密的联邦学习安全聚合系统☆36Updated 3 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆22Updated 2 years ago
- Multi‐key homomorphic encryption based on MKCKKS☆17Updated 2 years ago
- personal implementation of secure aggregation protocol☆42Updated 9 months ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆81Updated 5 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆18Updated 10 months ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆105Updated last month
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆16Updated last year
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆57Updated 2 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆27Updated 3 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
- pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.☆17Updated 3 months ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆38Updated 5 years ago
- MPC team of Security Group in HITSZ☆19Updated 2 months ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆67Updated 3 years ago
- 基于安全多方计算的隐私保护系统设计与实现☆43Updated 2 years ago
- 这是一个基于Paillier同态加密系统的隐私保护SVM模型训练算法。☆13Updated 2 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆34Updated last year
- Secure Aggregation for FL☆34Updated 11 months ago
- vertical federated learning demo with crypten☆44Updated 3 years ago
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆14Updated last month
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆17Updated 2 years ago
- Privacy Preserving Federated Learning on a Deep Neural Network☆8Updated 4 years ago
- FudanMPL 2.0, a series of multi-party learning frameworks, with rich features, including secure and fast XGBoost, secure Fine-tuning for …☆44Updated last month
- ☆14Updated 2 years ago
- Secure Aggregation for Federated Learning with Malicious Actors☆25Updated last year