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Licenses: Creative Commons Attribution 4.0

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  • Experiment

    Code and data accompanying the paper: Quantifying Privacy Risks in Synthetic ...

    This repository contains the code and data for the paper “Quantifying Privacy Risks in Synthetic Data: A Study on Black-Box Membership Inference”. It enables full...
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  • Experiment

    Experimental results from the Empirical Investigation of the Completeness of ...

    This is the raw data from the empirical investigation of the paper “Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation”. This work aim of...
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    • .pdf
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  • JournalArticle

    Modeling Adversarial Behavior Against Mobility Data Privacy

    Privacy risk assessment is a crucial issue in any privacy-aware analysis process. Traditional frameworks for privacy risk assessment systematically generate the assumed...
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  • JournalArticle

    Temporal social network reconstruction using wireless proximity sensors: mode...

    The emerging technologies of wearable wireless devices open entirely new ways to record various aspects of human social interactions in a broad range of settings. Such...
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  • JournalArticle

    GLocalX-From Local to Global Explanations of Black Box AI Models

    Artificial Intelligence (AI) has come to prominence as one of the major components of our society, with applications in most aspects of our lives. In this field, complex and...
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