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Privacy and Security of Big Data in AI Systems:A Research and Standards Perspective
Esmaeilzadeh Dilmaghani, Saharnaz; Brust, Matthias R.; Danoy, Grégoire et al.
2020In 2019 IEEE International Conference on Big Data (Big Data), 9-12 December 2019
Peer reviewed
 

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Disciplines :
Computer science
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)
External co-authors :
no
Language :
English
Title :
Privacy and Security of Big Data in AI Systems:A Research and Standards Perspective
Publication date :
24 February 2020
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 organizer :
IEEE
Event place :
Los Angeles, United States - California
Event date :
9-12-2019 to 12-12-2019
Audience :
International
Main work title :
2019 IEEE International Conference on Big Data (Big Data), 9-12 December 2019
Publisher :
IEEE
ISBN/EAN :
978-1-7281-0858-2
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Available on ORBilu :
since 12 February 2020

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