backdoor_federated_learning
by ebagdasa
Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
AI summary
Backdoor attacks
This project provides an implementation of backdoor attacks in federated learning frameworks using Python and PyTorch.
- stars
- 277
- forks
- 65
- watching
- 5
Similar projects
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
Federated attack generator
A tool for demonstrating and analyzing attacks on federated learning systems by introducing backdoors into distributed machine learning models.
Federated Learning Attack
An implementation of a federated learning attack method known as Neurotoxin, which introduces backdoors into machine learning models during the training process.
Federated Learning vulnerability research
Researchers investigate vulnerabilities in Federated Learning systems by introducing new backdoor attacks and exploring methods to defend against them.
Federated Defense Library
An implementation of a game-theoretic defense against backdoor attacks in federated learning.
Federated Learning Framework
This project presents a framework for robust federated learning against backdoor attacks.
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 Attacker Framework
An implementation of a framework for learning how to attack federated learning systems
Federated Learning Detector
Develops and evaluates a framework for detecting attacks on federated learning systems
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 System
A PyTorch implementation of an attack-tolerant federated learning system to train robust local models against malicious attacks from adversaries.
Federated Learning Framework
A framework for non-IID federated learning via neural propagation
Federated Learning Algorithms
Implementation of various federated learning algorithms to mitigate dimensional collapse in heterogeneous federated learning environments
Attack simulator
This repository provides a setup and framework for investigating irreversible backdoor attacks in Federated Learning systems.