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Provenance and Privacy 2017 (English)In: Modeling Decisions for Artificial Intelligence: 14th International Conference, MDAI 2017 Kitakyushu, Japan, October 18–20, 2017 Proceedings / [ed] Torra V., Narukawa Y., Honda A., Inoue S., Springer, 2017, p. 3-11Conference paper, Published paper (Refereed)

Abstract [en]

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.

Place, publisher, year, edition, pages

Springer, 2017. p. 3-11

Series

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, E-ISSN 1611-3349 ; 10571

National Category

Computer Sciences

Research subject

Skövde Artificial Intelligence Lab (SAIL); INF301 Data Science; INF303 Information Security

Identifiers

URN: urn:nbn:se:his:diva-16195DOI: 10.1007/978-3-319-67422-3_1ISI: 000439934200001Scopus ID: 2-s2.0-85030148368ISBN: 978-3-319-67422-3 (electronic)ISBN: 978-3-319-67421-6 (print)OAI: oai:DiVA.org:his-16195DiVA, id: diva2:1247668

Conference

14th International Conference on Modeling Decisions for Artificial Intelligence (MDAI), Kitakyushu, Japan, October 18-20, 2017.

Available from: 2018-09-12 Created: 2018-09-12 Last updated: 2018-11-26Bibliographically approved

Open Access in DiVA

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Publisher's full textScopus

Authority records

Torra, Vicenç

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Torra, VicençSanchez-Charles, David

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School of InformaticsThe Informatics Research Centre

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Computer Sciences

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