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  1. No Access

    Chapter and Conference Paper

    Privacy and Utility Evaluation of Synthetic Tabular Data for Machine Learning

    Synthetic data generation approaches have attracted a lot of attention as a potential substitute for classical anonymization methods. However, synthetic data still pose a wide range of privacy risks, for examp...

    Felix Hermsen, Avikarsha Mandal in Privacy and Identity Management. Sharing i… (2024)

  2. No Access

    Chapter and Conference Paper

    Towards Privacy-Preserving Machine Learning in Sovereign Data Spaces: Opportunities and Challenges

    The world of big data has unlocked novel avenues for organizations to generate value via sharing data. Current data ecosystem initiatives such as Gaia-X and IDS are introducing data-driven business models that...

    Mehdi Akbari Gurabi, Felix Hermsen… in Privacy and Identity Management. Sharing i… (2024)