DBA
Federated attack generator
A tool for demonstrating and analyzing attacks on federated learning systems by introducing backdoors into distributed machine learning models.
DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
176 stars
2 watching
46 forks
Language: Python
last commit: over 3 years ago federated-learning
Related projects:
| Repository | Description | Stars |
|---|---|---|
| ai-secure/fedgame | An implementation of a game-theoretic defense against backdoor attacks in federated learning. | 5 |
 ebagdasa/backdoor_federated_learning | An implementation of a framework for backdoors in federated learning, allowing researchers to test and analyze various attacks on distributed machine learning models. | 271 |
 hfzhang31/a3fl | A framework for attacking federated learning systems with adaptive backdoor attacks | 22 |
| ai-secure/crfl | This project presents a framework for robust federated learning against backdoor attacks. | 71 |
 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. | 63 |
 git-disl/lockdown | A backdoor defense system against attacks in federated learning algorithms used for machine learning model training on distributed datasets. | 14 |
 dcalab-unipv/turning-privacy-preserving-mechanisms-against-federated-learning | This project presents an attack on federated learning systems to compromise their privacy-preserving mechanisms. | 8 |
 sail-research/iba | This repository provides a setup and framework for investigating irreversible backdoor attacks in Federated Learning systems. | 29 |
 jeremy313/soteria | An implementation of a defense against model inversion attacks in federated learning | 55 |
 deu30303/feddefender | A PyTorch implementation of an attack-tolerant federated learning system to train robust local models against malicious attacks from adversaries. | 9 |
 eth-sri/bayes-framework-leakage | Develops and evaluates a framework for detecting attacks on federated learning systems | 11 |
 zhuohangli/ggl | An attack implementation to test and evaluate the effectiveness of federated learning privacy defenses. | 57 |
 yflyl613/fedrec | A PyTorch implementation of an attack and defense mechanism against Federated Recommendation Systems | 21 |
 ksreenivasan/ood_federated_learning | Researchers investigate vulnerabilities in Federated Learning systems by introducing new backdoor attacks and exploring methods to defend against them. | 64 |
 sliencerx/learning-to-attack-federated-learning | An implementation of a framework for learning how to attack federated learning systems | 15 |