backdoor_federated_learning

Federated learning backdoor framework

An implementation of a framework for backdoors in federated learning, allowing researchers to test and analyze various attacks on distributed machine learning models.

Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

GitHub

271 stars
5 watching
64 forks
Language: Python
last commit: 4 months ago

Related projects:

Repository Description Stars
hfzhang31/a3fl A framework for attacking federated learning systems with adaptive backdoor attacks 22
ai-secure/dba A tool for demonstrating and analyzing attacks on federated learning systems by introducing backdoors into distributed machine learning models. 176
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
ksreenivasan/ood_federated_learning Researchers investigate vulnerabilities in Federated Learning systems by introducing new backdoor attacks and exploring methods to defend against them. 64
ai-secure/fedgame An implementation of a game-theoretic defense against backdoor attacks in federated learning. 5
ai-secure/crfl This project presents a framework for robust federated learning against backdoor attacks. 71
git-disl/lockdown A backdoor defense system against attacks in federated learning algorithms used for machine learning model training on distributed datasets. 14
sliencerx/learning-to-attack-federated-learning An implementation of a framework for learning how to attack federated learning systems 15
eth-sri/bayes-framework-leakage Develops and evaluates a framework for detecting attacks on federated learning systems 11
ybdai7/chameleon-durable-backdoor A federated learning system implementation that enables planting durable backdoors in global models by adapting to peer images. 32
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
deu30303/feddefender A PyTorch implementation of an attack-tolerant federated learning system to train robust local models against malicious attacks from adversaries. 9
codepothunter/fednp A framework for non-IID federated learning via neural propagation 6
bytedance/feddecorr Provides an implementation of various heterogeneous federated learning methods and datasets to mitigate dimensional collapse in distributed machine learning 63
sail-research/iba This repository provides a setup and framework for investigating irreversible backdoor attacks in Federated Learning systems. 29