SamuelGong / FLASHE
[arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning
☆18Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for FLASHE
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆9Updated 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
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆15Updated last month
- ☆27Updated 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
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆29Updated last year
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- personal implementation of secure aggregation protocol☆42Updated 9 months ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆67Updated 3 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆22Updated 2 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆16Updated last year
- A secure aggregation system for private federated learning☆36Updated 6 months ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆27Updated 3 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆14Updated last year
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆12Updated last year
- Secure Aggregation for FL☆34Updated 11 months ago
- ☆34Updated 3 years ago
- ☆78Updated 4 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆81Updated 5 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆31Updated last month
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆43Updated last year
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆57Updated 2 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆19Updated 4 years ago
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆18Updated last year
- A foundational platform that primarily shares federated learning, differential privacy content☆19Updated 2 weeks ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆34Updated last year
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆30Updated 2 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆79Updated last year
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆18Updated 2 years ago