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  • Method

    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
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  • Experiment

    Label flipping attacks in Federated Learning

    The following experiments showcase Federated Learning using Scikit-learn.
    • ipynb
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  • Experiment

    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...
    • ipynb
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    • ipynb
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