CRFL
Federated Learning Framework
This project presents a framework for robust federated learning against backdoor attacks.
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
71 stars
3 watching
15 forks
Language: Python
last commit: over 3 years ago certified-robustnessfederated-learningpytorch
Related projects:
| Repository | Description | Stars |
|---|---|---|
 securefederatedai/openfl | A Python framework for collaborative machine learning without sharing sensitive data | 738 |
 hfzhang31/a3fl | A framework for attacking federated learning systems with adaptive backdoor attacks | 23 |
| ai-secure/dba | A tool for demonstrating and analyzing attacks on federated learning systems by introducing backdoors into distributed machine learning models. | 179 |
 ebagdasa/backdoor_federated_learning | This project provides an implementation of backdoor attacks in federated learning frameworks using Python and PyTorch. | 277 |
| ai-secure/fedgame | An implementation of a game-theoretic defense against backdoor attacks in federated learning. | 6 |
 ksreenivasan/ood_federated_learning | Researchers investigate vulnerabilities in Federated Learning systems by introducing new backdoor attacks and exploring methods to defend against them. | 66 |
 jhcknzzm/federated-learning-backdoor | An implementation of a federated learning attack method known as Neurotoxin, which introduces backdoors into machine learning models during the training process. | 65 |
 zlijingtao/ressfl | Develops techniques to improve the resistance of split learning in federated learning against model inversion attacks | 19 |
 cuis15/fcfl | An implementation of Fair and Consistent Federated Learning using Python. | 20 |
 fangxiuwen/robust_fl | An implementation of a robust federated learning framework for handling noisy and heterogeneous clients in machine learning. | 43 |
 flint-xf-fan/byzantine-federated-rl | Provides a framework and theoretical foundation for Federated Reinforcement Learning with Byzantine Resilience in distributed systems | 85 |
 git-disl/lockdown | A backdoor defense system for federated learning, designed to protect against data poisoning attacks by isolating subspace training and aggregating models with robust consensus fusion. | 18 |
 haozzh/fedcr | Evaluates various methods for federated learning on different models and tasks. | 19 |
 garyzhang99/dm-pfl | A framework for personalized federated learning that improves shift-robustness with minimal extra training overhead | 3 |
 sliencerx/learning-to-attack-federated-learning | An implementation of a framework for learning how to attack federated learning systems | 15 |