Learning-to-Attack-Federated-Learning

Similar projects

Found by comparing what the projects do, not just their names.

• hfzhang31/a3fl23

  Federated Learning Attack

  A framework for attacking federated learning systems with adaptive backdoor attacks

• ebagdasa/backdoor_federated_learning277

  Backdoor attacks

  This project provides an implementation of backdoor attacks in federated learning frameworks using Python and PyTorch.

• ksreenivasan/ood_federated_learning66

  Federated Learning vulnerability research

  Researchers investigate vulnerabilities in Federated Learning systems by introducing new backdoor attacks and exploring methods to defend against them.

• jeremy313/fl-wbc37

  Attack defense

  A defense mechanism against model poisoning attacks in federated learning

• ai-secure/crfl71

  Federated Learning Framework

  This project presents a framework for robust federated learning against backdoor attacks.

• eth-sri/bayes-framework-leakage11

  Federated Learning Detector

  Develops and evaluates a framework for detecting attacks on federated learning systems

• aiot-mlsys-lab/fedrolex61

  Federated Learning framework

  An approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources.

• deu30303/feddefender10

  Federated Learning System

  A PyTorch implementation of an attack-tolerant federated learning system to train robust local models against malicious attacks from adversaries.

• xtra-computing/fedov17

  Federated Learning Framework

  Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models.

• fangxiuwen/robust_fl43

  Federated Learning Framework

  An implementation of a robust federated learning framework for handling noisy and heterogeneous clients in machine learning.

• lins-lab/fedbr25

  Federated Learning Algorithm

  An implementation of federated learning algorithm to reduce local learning bias and improve convergence on heterogeneous data

• ai-secure/dba179

  Federated attack generator

  A tool for demonstrating and analyzing attacks on federated learning systems by introducing backdoors into distributed machine learning models.

• haozzh/fedcr19

  Federated Learning Framework

  Evaluates various methods for federated learning on different models and tasks.

• jeremy313/soteria55

  Federated Learning Defense

  An implementation of a defense against model inversion attacks in federated learning

• xtra-computing/fedsim25

  Federated Learning Framework

  A framework that enables federated learning across multiple datasets while optimizing model performance with record similarities.