9 items found

Organisations: SoBigData Catalogue Tags: Privacy

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  • Method

    Privlib

    privlib is a Python software package to manage privacy risk and discrimination in tabular and sequential data. It comprises methods to assess privacy risk (PRUDEnce) and...
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  • Method

    Python library for direct and indirect discrimination prevention in data mining

    This python library implements the discrimination discovery and prevention method proposed in the paper: “A methodology for direct and indirect discrimination prevention in...
    • GitHub
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  • Method

    Privacy Risk on Sociometer

    This method provides a Privacy Risk Assessment on CDR data, aggregated through the presence vectors used by the Sociometer.
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    • TXT
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    • jar
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  • Method

    Human Mobility Data Privacy Risk Estimator

    This method is a fast and flexible approach to estimate privacy risk in human mobility data. The idea is to train classifiers to capture the relation between individual...
  • Method

    Privacy Risk on Trajectories

    This method provides a Privacy Risk Assessment on mobility data, in terms of trajectories or aggregation of trajectories, i.e., locations with frequency of visit and locations...
    • Python
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  • Application

    Scikit-mobility

    Scikit-mobility is a library for human mobility analysis in Python. The library allows to: represent trajectories and mobility flows with proper data structures, TrajDataFrame...
    • URL
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  • Dataset

    Multi-Task Faces (MTF) dataset

    The Multi-Task Faces (MTF) dataset consists of cropped human faces for classification tasks or other research purposes. Each image in the dataset is labelled according to four...
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  • Experiment

    Label flipping attacks in Federated Learning

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