shine813 / Secure-Multi-Party-Computation-ProtocolLinks
基于phe库的安全多方计算协议实现
☆11Updated 3 years ago
Alternatives and similar repositories for Secure-Multi-Party-Computation-Protocol
Users that are interested in Secure-Multi-Party-Computation-Protocol are comparing it to the libraries listed below
Sorting:
- 基于同态加密的联邦学习安全聚合系统☆45Updated 4 years ago
- Paper Notes in MPC with Applications to PPML☆69Updated last year
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆32Updated last month
- Repository for collection of research papers on multi-party learning.☆32Updated last year
- personal implementation of secure aggregation protocol☆46Updated last year
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆39Updated last year
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Homomorphic Encryption and Federated Learning based Privacy-Preserving☆71Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆123Updated 9 months ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 5 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- 多方安全计算技术&联邦学习相关/Multi party security computing technology federated learning☆17Updated last year
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- Multi‐key homomorphic encryption based on MKCKKS☆20Updated 3 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆70Updated 4 years ago
- 自己的个人毕设，联邦学习相关，主要是多方安全计算中秘密分享的一种算法实现，以完成不需要第三方的安全隐私传输。（An algorithm implementation of secret sharing in multi-party secure computing to c…☆18Updated 3 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated 2 months ago
- 基于安全多方计算的隐私保护系统设计与实现☆47Updated 3 years ago
- vertical federated learning demo with crypten☆47Updated 3 years ago
- SOCI is a Secure Outsourced Computation on Integers based on the Paillier cryptosystem and a twin-server architecture☆117Updated last year
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆165Updated 2 years ago
- Privacy Preserving Federated Learning on a Deep Neural Network☆8Updated 5 years ago
- A secure aggregation system for private federated learning☆41Updated last year
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆23Updated 3 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 6 years ago
- Cryptographically Secure Aggregation for Federated Learning☆11Updated 2 years ago
- SOCI is a Secure Outsourced Computation on Integers based on the Paillier cryptosystem and a twin-server architecture☆103Updated last year
- Materials about Privacy-Preserving Machine Learning☆252Updated 5 months ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated 2 years ago