Chameleon-durable-backdoor

Federated learning backdoor system

A federated learning system implementation that enables planting durable backdoors in global models by adapting to peer images.

[ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (https://proceedings.mlr.press/v202/dai23a)"

GitHub

32 stars
1 watching
5 forks
Language: Python
last commit: about 2 months ago

Related projects:

Repository Description Stars
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
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
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
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/dba A tool for demonstrating and analyzing attacks on federated learning systems by introducing backdoors into distributed machine learning models. 177
kaiyuanzh/flip A framework for defending against backdoor attacks in federated learning systems 44
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
conditionwang/fcil Implementation of Federated Class-Incremental Learning for Continual Learning in Computer Vision 101
hfzhang31/a3fl A framework for attacking federated learning systems with adaptive backdoor attacks 22
xiyuanyang45/dynamicpfl A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness 51
ai-secure/fedgame An implementation of a game-theoretic defense against backdoor attacks in federated learning. 5
illidanlab/fedrbn An implementation of Federated Robustness Propagation in PyTorch to share robustness across heterogeneous federated learning users. 26
pengyang7881187/fedrl Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data 54
harliwu/fedamd This project presents an approach to federated learning with partial client participation by optimizing anchor selection for improving model accuracy and convergence. 2