-
Debiaser for Multiple Variables (DEMV)
DEMV is a Debiaser for Multiple Variables that aims to increase Fairness in any given dataset, both binary and categorical, with one or more sensitive variables, while keeping...-
ipynb
The resource: 'Tutorial Notebook' is not accessible as guest user. You must login to access it!
-
ipynb
-
Label flipping attacks in Federated Learning
The following experiments showcase Federated Learning using Scikit-learn.-
ipynb
The resource: 'FederatedLearning-sklearn' is not accessible as guest user. You must login to access it!
-
ipynb
-
Membership Inference Attacks on ML Models
This collection of Jupyter notebooks implements membership inference attacks found in Salem et al. "ML-Leaks: Model and Data Independent Membership Inference Attacks and...
