Privacy and Security of Big Data in AI Systems:A Research and Standards Perspective

Reference : Privacy and Security of Big Data in AI Systems:A Research and Standards Perspective


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/42478

Title :	Privacy and Security of Big Data in AI Systems:A Research and Standards Perspective
Language :	English
Author, co-author :	Esmaeilzadeh Dilmaghani, Saharnaz [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Brust, Matthias R. [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Danoy, Grégoire [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC) >]
	Cassagnes, Natalia [Agence pour la Normalisation et l’ ́Economie de la Connaissance (ANEC G.I.E.)]
	Pecero, Johnatan [Agence pour la Normalisation et l’ ́Economie de la Connaissance (ANEC G.I.E.)]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	24-Feb-2020
Main document title :	2019 IEEE International Conference on Big Data (Big Data), 9-12 December 2019
Publisher :	IEEE
Peer reviewed :	Yes
Audience :	International
ISBN :	978-1-7281-0858-2
Event name :	2019 IEEE International Conference on Big Data (IEEE BigData 2019), 6th International Workshop on Privacy and Security of Big Data (PSBD 2019)
Event date :	9-12-2019 to 12-12-2019
Event organizer :	IEEE
Event place (city) :	LA
Event country :	U.S.A
Permalink :	http://hdl.handle.net/10993/42478

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