Scalable and Usable Privacy Preserving Techniques

    A huge amount of data are being generated, collected, analysed and distributed in a fast pace in our daily life.

    This data growth requires efficient techniques for analysing and processing high volumes of data, for which preserving privacy effectively is a crucial challenge and even a key necessity, considering the recently coming into effect privacy laws (e.g., the EUGDPR).

    Companies and organisations in their real-world applications need scalable and usable privacy preserving techniques to support them in protecting personal data. In this project we aim at addressing the scalability and usability of privacy preserving data analysis techniques (like Statistical Disclosure Control (SDC) for data minimization as required by the GDPR). Specifically, our research question is: How can privacy preserving techniques (for data minimisation) be made scalable and usable?

    Projectleider: Afshin Amighi
    Verantwoordelijk lector: Mortaza Shoae Bargh

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