A3FL

Similar projects

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

• ebagdasa/backdoor_federated_learning277

  Backdoor attacks

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

• sliencerx/learning-to-attack-federated-learning15

  Federated Learning Attacker Framework

  An implementation of a framework for learning how to attack federated learning systems

• haozzh/fedcr19

  Federated Learning Framework

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

• ai-secure/crfl71

  Federated Learning Framework

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

• 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.

• zhuohangli/ggl58

  Gradient Attack Method

  Researchers develop an attack method to measure the effectiveness of federated learning privacy defenses by generating leakage in gradients

• 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.

• 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.

• fangxiuwen/robust_fl43

  Federated Learning Framework

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

• jeremy313/fl-wbc37

  Attack defense

  A defense mechanism against model poisoning attacks in federated learning

• xiyuanyang45/dynamicpfl57

  Federated learning method

  A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness

• eth-sri/bayes-framework-leakage11

  Federated Learning Detector

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

• git-disl/lockdown18

  Federated learning defense system

  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.

• pengyang7881187/fedrl56

  Federated Learning

  Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data

• dcalab-unipv/turning-privacy-preserving-mechanisms-against-federated-learning8

  Federated Learning Attack

  This project presents an attack on federated learning systems to compromise their privacy-preserving mechanisms.