robbing_the_fed
Model inversion attack
This implementation allows an attacker to directly obtain user data from federated learning gradient updates by modifying the shared model architecture.
23 stars
2 watching
5 forks
Language: Python
last commit: about 3 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| A framework for attacking federated learning systems with adaptive backdoor attacks | 23 |
| An implementation of model poisoning attacks in federated learning | 146 |
| An implementation of a method to invert gradients in federated learning to potentially reveal sensitive client data | 39 |
| An implementation of a framework for learning how to attack federated learning systems | 15 |
| Develops and evaluates a framework for detecting attacks on federated learning systems | 11 |
| A defense mechanism against model poisoning attacks in federated learning | 37 |
| An implementation of a defense against model inversion attacks in federated learning | 55 |
| Investigates transfer learning in federated learning by guiding the last layer with pre-trained models | 7 |
| Researchers develop an attack method to measure the effectiveness of federated learning privacy defenses by generating leakage in gradients | 58 |
| Researchers investigate vulnerabilities in Federated Learning systems by introducing new backdoor attacks and exploring methods to defend against them. | 66 |
| A PyTorch framework for analyzing vulnerabilities in federated learning models and predicting data breaches | 274 |
| An implementation of a federated learning attack method known as Neurotoxin, which introduces backdoors into machine learning models during the training process. | 65 |
| An algorithm that breaks secure aggregation protocols in federated learning by recovering individual model updates from aggregated sums | 14 |
| This project presents an attack on federated learning systems to compromise their privacy-preserving mechanisms. | 8 |
| This project provides an implementation of backdoor attacks in federated learning frameworks using Python and PyTorch. | 277 |