7 items found

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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
      The resource: 'Tutorial Notebook' is not accessible as guest user. You must login to access it!
  • TrainingMaterial

    Tutorials on anonymization and antidiscrimination of datasets

    These tutorials show how to use the already implemented libraries for the anonymization and antidiscrimination of data sets: - Anonymization library:...
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    • ipynb
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    • 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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  • TrainingMaterial

    Social Network Analysis with Python

    This set of tutorials provides an introduction to Social Network Analysis in Python with networkx. Topics covered: Introduction to NetworkX NDlib: Network Diffusion library...
    • ipynb
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    • ipynb
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    • ipynb
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  • TrainingMaterial

    Introduction to Data science for Social Scientists

    This course, initially designed for social scientists, covers several topics of data science. Python programming Data Cleaning and Transformation Classification Clustering...
    • ipynb
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    • HTML
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  • TrainingMaterial

    Tutorial on Learning To Rank

    Efficiency/Effectiveness Trade-offs in Learning to Rank” tutorial by Claudio Lucchese and Franco Maria Nardini at the European Conference on Machine Learning and Principles...
    • DOCX
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    • PDF
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