marcoszh / BatchCrypt
☆83Updated 4 years ago
Alternatives and similar repositories for BatchCrypt:
Users that are interested in BatchCrypt are comparing it to the libraries listed below
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆84Updated 5 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆23Updated 2 years ago
- Secure Aggregation for FL☆34Updated last year
- A secure aggregation system for private federated learning☆39Updated 10 months ago
- personal implementation of secure aggregation protocol☆43Updated last year
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆21Updated 4 years ago
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆112Updated last year
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated last year
- Paper Notes in MPC with Applications to PPML☆67Updated last year
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆44Updated last year
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆68Updated 4 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- ☆28Updated 2 years ago
- Repository for collection of research papers on multi-party learning.☆32Updated last year
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- Privacy-preserving Federated Learning with Trusted Execution Environments☆65Updated last year
- Secure Aggregation for Federated Learning with Malicious Actors☆24Updated 2 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 5 years ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆39Updated 5 years ago
- A Simulator for Privacy Preserving Federated Learning☆93Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆28Updated 3 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated last year
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆26Updated 2 months ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆15Updated last year
- Implementation of protocols in SecureNN.☆130Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆142Updated 2 years ago
- A sybil-resilient distributed learning protocol.☆103Updated last year
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆60Updated 3 years ago
- vertical federated learning demo with crypten☆47Updated 3 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆111Updated 5 months ago