bayes-framework-leakage
Federated Learning Detector
Develops and evaluates a framework for detecting attacks on federated learning systems
11 stars
6 watching
2 forks
Language: Python
last commit: almost 3 years ago Related projects:
Repository | Description | Stars |
---|---|---|
jonasgeiping/breaching | A PyTorch framework for analyzing vulnerabilities in federated learning models and predicting data breaches | 274 |
ksreenivasan/ood_federated_learning | Researchers investigate vulnerabilities in Federated Learning systems by introducing new backdoor attacks and exploring methods to defend against them. | 66 |
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 |
hfzhang31/a3fl | A framework for attacking federated learning systems with adaptive backdoor attacks | 23 |
ebagdasa/backdoor_federated_learning | This project provides an implementation of backdoor attacks in federated learning frameworks using Python and PyTorch. | 277 |
idanachituve/pfedgp | An implementation of Personalized Federated Learning with Gaussian Processes using Python. | 32 |
sliencerx/learning-to-attack-federated-learning | An implementation of a framework for learning how to attack federated learning systems | 15 |
haozzh/fedcr | Evaluates various methods for federated learning on different models and tasks. | 19 |
deu30303/feddefender | A PyTorch implementation of an attack-tolerant federated learning system to train robust local models against malicious attacks from adversaries. | 10 |
ai-secure/dba | A tool for demonstrating and analyzing attacks on federated learning systems by introducing backdoors into distributed machine learning models. | 179 |
yuetan031/fedproto | An implementation of federated learning with prototype-based methods across heterogeneous clients | 134 |
jianyizhang123/flop | An experiment comparing different federated learning approaches for image classification tasks with non-iid datasets. | 8 |
shenzebang/centaur-privacy-federated-representation-learning | A framework for Federated Learning with Differential Privacy using PyTorch | 13 |
aiot-mlsys-lab/fedrolex | An approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources. | 61 |
sap-samples/machine-learning-diff-private-federated-learning | Simulates a federated learning setting to preserve individual data privacy | 365 |