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Selected Privacy Research Topics in the ARES Project: An Overview

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Advanced Research in Data Privacy

Part of the book series: Studies in Computational Intelligence ((SCI,volume 567))

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Abstract

This chapter gives an overview of some of the data privacy research carried out by the team at Universitat Rovira i Virgili within the ARES project. Topics reviewed include query profile privacy, location privacy, differential privacy and anti-discrimination.

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Notes

  1. 1.

    However, using the Torbutton browser add-on helps eliminating cookings and allows using Tor to protect the query history of a user.

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Acknowledgments

The second author is partially supported by the Government of Catalonia through an ICREA Acadèmia Prize. The following partial supports are also gratefully acknowledged: the Spanish Government under projects CONSOLIDER INGENIO 2010 CSD2007-00004 “ARES” and TIN2011-27076-C03-01 “CO-PRIVACY”, and the European Commission under FP7 projects “DwB” and “Inter-Trust”. The second author is with the UNESCO Chair in Data Privacy, but the views expressed in this chapter neither necessarily reflect the position of UNESCO nor commit that organization.

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Authors and Affiliations

  1. Department of Computer Engineering and Mathematics, Universitat Rovira I Virgili, UNESCO Chair in Data Privacy, Av. Països Catalans 26, 43007, Tarragona, Catalonia, Spain

    Jesús A. Manjón & Josep Domingo-Ferrer

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  1. Jesús A. Manjón
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  2. Josep Domingo-Ferrer
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Correspondence to Jesús A. Manjón .

Editor information

Editors and Affiliations

  1. Department of Information and Communications Engineering, Universitat Autonoma de Barcelona, Catalonia, Spain

    Guillermo Navarro-Arribas

  2. Consejo Superior de Investigaciones Científicas Campus de la UAB, Institut d'Investigació en Intel·ligència Artificial, Catalonia, Spain

    Vicenç Torra

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Manjón, J.A., Domingo-Ferrer, J. (2015). Selected Privacy Research Topics in the ARES Project: An Overview. In: Navarro-Arribas, G., Torra, V. (eds) Advanced Research in Data Privacy. Studies in Computational Intelligence, vol 567. Springer, Cham. https://doi.org/10.1007/978-3-319-09885-2_2

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  • DOI: https://doi.org/10.1007/978-3-319-09885-2_2

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