mofanv / PPFLLinks
Privacy-preserving Federated Learning with Trusted Execution Environments
☆74Updated 3 months ago
Alternatives and similar repositories for PPFL
Users that are interested in PPFL are comparing it to the libraries listed below
Sorting:
- ☆89Updated 5 years ago
 - OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆16Updated 2 years ago
 - Secure Aggregation for FL☆35Updated last year
 - Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆24Updated 4 years ago
 - [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated 6 months ago
 - runs several layers of a deep learning model in TrustZone☆90Updated last year
 - personal implementation of secure aggregation protocol☆45Updated last year
 - ☆40Updated 6 months ago
 - This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆23Updated 5 years ago
 - ☆43Updated 2 years ago
 - A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated 2 years ago
 - ☆47Updated last year
 - A sybil-resilient distributed learning protocol.☆104Updated last month
 - Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware☆167Updated 2 years ago
 - Privacy-preserving Deep Learning based on homomorphic encryption (HE)☆34Updated 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
 - Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction☆34Updated 4 years ago
 - ☆27Updated 2 years ago
 - ☆28Updated 2 years ago
 - An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆89Updated 6 years ago
 - ☆51Updated 4 years ago
 - Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Updated 4 years ago
 - Secure Aggregation for Federated Learning with Malicious Actors☆26Updated 2 years ago
 - ☆19Updated 4 years ago
 - Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
 - Fast Privacy-Preserving Machine Learning on the GPU☆88Updated 4 years ago
 - reveal the vulnerabilities of SplitNN☆31Updated 3 years ago
 - ☆35Updated 4 years ago
 - Privacy attacks on Split Learning☆42Updated 3 years ago
 - A secure aggregation system for private federated learning☆43Updated last year