DMP2017 DPM2017 ESORICS 2017

Keynote Speaker

Vicenç Torra

Affiliation: University of Skövde, Sweden

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Title: Privacy models and disclosure risk: integral privacy

Abstract: The literature offers a set of privacy models which can be used to specify what kind of inference are we interested to avoid. Reidentification, k-anonymity and differential privacy are well known examples of these privacy models. Most of them can be classified according to the two dimensions: attribute and identity disclosure.
In this talk we will give an overview of the privacy models and describe some of our work on evaluating the worst-case scenario for some masking methods, and discuss the privacy model of integral privacy.

Short Biography

Vicenç Torra (University of Skövde) is a Full Professor at the University of Skövde (Sweden) since 2014. Before, he was Assoc. Prof. Research Track (1999-2014) at the Artificial Intelligence Research Institute (IIIA-CSIC) and Assoc. Prof. (1994-1999) at the Universitat Rovira i Virgili, and Visiting researcher at the University of Tsukuba (Japan). He is an IEEE and EurAI Fellow, and ISI Elected member.

His research interests include: data privacy (statistical disclosure control and privacy preserving data mining), approximate reasoning, aggregation operators and data fusion, decision making and game theory. He has published in major journals and conferences and has written 6 books. Among the latter, he has published "Data Privacy" (Springer, 2017), "Scala: From a functional programming perspective" (Springer, 2016), and "Modeling Decisions" (with Y. Narukawa, Springer, 2007). His research has been funded by national and international projects (e.g. EU ones). He is currently working on a project on Big data privacy (VR 2016-03346, 2017-2020). He is regularly involved in editorial boards and program committees. He is the founder and Editor-in-chief of the Transactions on Data Privacy (