OOD_Federated_Learning
Federated Learning vulnerability research
Researchers investigate vulnerabilities in Federated Learning systems by introducing new backdoor attacks and exploring methods to defend against them.
64 stars
1 watching
16 forks
Language: Roff
last commit: over 2 years 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 |
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 |
eth-sri/bayes-framework-leakage | Develops and evaluates a framework for detecting attacks on federated learning systems | 11 |
sliencerx/learning-to-attack-federated-learning | An implementation of a framework for learning how to attack federated learning systems | 15 |
jeremy313/soteria | An implementation of a defense against model inversion attacks in federated learning | 55 |
federatedai/eggroll | A framework for distributed machine learning | 244 |
git-disl/lockdown | A backdoor defense system against attacks in federated learning algorithms used for machine learning model training on distributed datasets. | 14 |
vothanhvinh/causalrff | This project develops an adaptive kernel approach to federated learning of heterogeneous causal effects. | 1 |
zlz0414/feddar | A framework for federated representation learning with domain awareness in multi-model scenarios. | 2 |
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 |
haozzh/fedcr | Evaluates various methods for federated learning on different models and tasks. | 17 |
jonasgeiping/breaching | A PyTorch framework for analyzing vulnerabilities in federated learning models and predicting data breaches | 269 |
xtra-computing/fedov | Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models. | 14 |
securefederatedai/openfl | A framework for enabling collaboration on machine learning projects without sharing sensitive data | 728 |