robbing_the_fed
by lhfowl
AI summary
Model inversion attack
This implementation allows an attacker to directly obtain user data from federated learning gradient updates by modifying the shared model architecture.
- stars
- 23
- forks
- 5
- watching
- 2
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
Model Poisoning Attack Library
An implementation of model poisoning attacks in federated learning
Gradient inversion vulnerability fix
An implementation of a method to invert gradients in federated learning to potentially reveal sensitive client data
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
Attack defense
A defense mechanism against model poisoning attacks in federated learning
Federated Learning Defense
An implementation of a defense against model inversion attacks in federated learning
FL guidance
Investigates transfer learning in federated learning by guiding the last layer with pre-trained models
Gradient Attack Method
Researchers develop an attack method to measure the effectiveness of federated learning privacy defenses by generating leakage in gradients
Federated Learning vulnerability research
Researchers investigate vulnerabilities in Federated Learning systems by introducing new backdoor attacks and exploring methods to defend against them.
Federated Breach Analysis
A PyTorch framework for analyzing vulnerabilities in federated learning models and predicting data breaches
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 Reverser
An algorithm that breaks secure aggregation protocols in federated learning by recovering individual model updates from aggregated sums
Federated Learning Attack
This project presents an attack on federated learning systems to compromise their privacy-preserving mechanisms.
Backdoor attacks
This project provides an implementation of backdoor attacks in federated learning frameworks using Python and PyTorch.