Abstract
This paper presents an overview of current needs on data provenance and data privacy, and discusses state-of-the-art results in this area. The paper highlights the difficulties that we need to face and finishes with some lines that require further work.
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Regulation (EU) 2016/679 of the European Parliament and of the Council: http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32016R0679.
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Acknowledgements
Partially supported by Vetenskapsrådet project: “Disclosure risk and transparency in big data privacy” (VR 2016-03346); and Spanish and Catalan governments with projects TIN2014-55243-P and 2014SGR-691 respectively.
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Torra, V., Navarro-Arribas, G., Sanchez-Charles, D., Muntés-Mulero, V. (2017). Provenance and Privacy. In: Torra, V., Narukawa, Y., Honda, A., Inoue, S. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2017. Lecture Notes in Computer Science(), vol 10571. Springer, Cham. https://doi.org/10.1007/978-3-319-67422-3_1
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