Found by comparing what the projects do, not just their names.
Federated Learning Attack
A framework for attacking federated learning systems with adaptive backdoor attacks
Backdoor attacks
This project provides an implementation of backdoor attacks in federated learning frameworks using Python and PyTorch.
Federated attack generator
A tool for demonstrating and analyzing attacks on federated learning systems by introducing backdoors into distributed machine learning models.
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.
Federated Learning Framework
This project presents a framework for robust federated learning against backdoor attacks.
Federated learning backdoor system
A federated learning system implementation that enables planting durable backdoors in global models by adapting to peer images.
Federated Learning Attack
This project presents an attack on federated learning systems to compromise their privacy-preserving mechanisms.
Federated Learning vulnerability research
Researchers investigate vulnerabilities in Federated Learning systems by introducing new backdoor attacks and exploring methods to defend against them.
Attack defense
A defense mechanism against model poisoning attacks in federated learning
Federated Defense Library
An implementation of a game-theoretic defense against backdoor attacks in federated learning.
Federated Learning Defense
An implementation of a defense against model inversion attacks in federated learning
Federated Breach Analysis
A PyTorch framework for analyzing vulnerabilities in federated learning models and predicting data breaches
Gradient Attack Method
Researchers develop an attack method to measure the effectiveness of federated learning privacy defenses by generating leakage in gradients
Federated Learning Attacker Framework
An implementation of a framework for learning how to attack federated learning systems
Federated Learning System
A PyTorch implementation of an attack-tolerant federated learning system to train robust local models against malicious attacks from adversaries.