breaching
Federated Breach Analysis
A PyTorch framework for analyzing vulnerabilities in federated learning models and predicting data breaches
Breaching privacy in federated learning scenarios for vision and text
274 stars
5 watching
60 forks
Language: Python
last commit: over 2 years agodecentralized-learningfederated-learningmachine-learningprivacy-auditpytorchsecurity
Related projects:
| Repository | Description | Stars |
|---|---|---|
 eth-sri/bayes-framework-leakage | Develops and evaluates a framework for detecting attacks on federated learning systems | 11 |
 dcalab-unipv/turning-privacy-preserving-mechanisms-against-federated-learning | This project presents an attack on federated learning systems to compromise their privacy-preserving mechanisms. | 8 |
 yflyl613/fedrec | A PyTorch implementation of an attack and defense mechanism against Federated Recommendation Systems | 21 |
 ksreenivasan/ood_federated_learning | Researchers investigate vulnerabilities in Federated Learning systems by introducing new backdoor attacks and exploring methods to defend against them. | 66 |
 deu30303/feddefender | A PyTorch implementation of an attack-tolerant federated learning system to train robust local models against malicious attacks from adversaries. | 10 |
 jeremy313/soteria | An implementation of a defense against model inversion attacks in federated learning | 55 |
 chandra2thapa/splitfed-when-federated-learning-meets-split-learning | An implementation of federated learning and split learning techniques with PyTorch on the HAM10000 dataset | 134 |
 sap-samples/machine-learning-diff-private-federated-learning | Simulates a federated learning setting to preserve individual data privacy | 365 |
 ebagdasa/backdoor_federated_learning | This project provides an implementation of backdoor attacks in federated learning frameworks using Python and PyTorch. | 277 |
 shenzebang/centaur-privacy-federated-representation-learning | A framework for Federated Learning with Differential Privacy using PyTorch | 13 |
| shenzebang/federated-learning-pytorch | A PyTorch-based framework for Federated Learning experiments | 40 |
 git-disl/lockdown | 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. | 18 |
 charliedinh/pfedme | An implementation of Personalized Federated Learning with Moreau Envelopes and related algorithms using PyTorch for research and experimentation. | 291 |
 jhcknzzm/federated-learning-backdoor | An implementation of a federated learning attack method known as Neurotoxin, which introduces backdoors into machine learning models during the training process. | 65 |
 ai-secure/dba | A tool for demonstrating and analyzing attacks on federated learning systems by introducing backdoors into distributed machine learning models. | 179 |