andru47 / smkheLinks
Single & Multi Key Homomorphic Encryption Library
☆19Updated 3 years ago
Alternatives and similar repositories for smkhe
Users that are interested in smkhe are comparing it to the libraries listed below
Sorting:
- Multi‐key homomorphic encryption based on MKCKKS☆20Updated 3 years ago
- Paper Notes in MPC with Applications to PPML☆71Updated last year
- A secure aggregation system for private federated learning☆47Updated last year
- Repository for collection of research papers on multi-party learning.☆34Updated 2 years ago
- Materials about Privacy-Preserving Machine Learning☆263Updated 4 months ago
- Secure Aggregation for Federated Learning with Malicious Actors☆28Updated 3 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated 9 months ago
- [INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆41Updated 5 months ago
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆83Updated last year
- Privacy preserving vertical federated learning for tree-based models☆30Updated 4 years ago
- Homomorphic Encryption and Federated Learning based Privacy-Preserving☆73Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆91Updated 6 years ago
- Secure Aggregation for FL☆37Updated 2 years ago
- ☆90Updated 5 years ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆37Updated 6 years ago
- Cryptographically Secure Aggregation for Federated Learning☆11Updated 3 years ago
- personal implementation of secure aggregation protocol☆45Updated last year
- ☆129Updated 5 months ago
- ☆38Updated last year
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆28Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 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 …☆57Updated last week
- Implementation of protocols in Falcon☆95Updated last year
- MPC team of Security Group in HITSZ☆19Updated 2 weeks ago
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆113Updated 2 years ago
- ☆14Updated 2 years ago
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆51Updated 4 years ago
- A mathematical and code introduction to the BFV Homomorphic Encryption scheme.☆41Updated 3 years ago
- Client/Server framework for encrypted machine learning using homomorphic encryption☆43Updated 4 years ago
- Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference☆49Updated 4 years ago