Differentially Private Copulas, DAG and Hybrid Methods: A Comprehensive Data Utility Study

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Title:	Differentially Private Copulas, DAG and Hybrid Methods: A Comprehensive Data Utility Study
Authors:	Galloni, Andrea; Lendák, Imre
Issue Date:	2023
Publication:	Computational Collective Intelligence
ISSN:	0302-9743 Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Search Idenfier
Publisher:	Springer
Type:	Book parts
ISBN:	978-3-031-41456-5 Search Idenfier
Collation:	vol. 14162 str. 270-281
DOI:	10.1007/978-3-031-41456-5_21
WoS-ID:	001162153100021
Scopus-ID:	2-s2.0-85172412121
URI:	https://enauka.gov.rs/handle/123456789/889744
URL:	https://link.springer.com/chapter/10.1007/978-3-031-41456-5_21
Metadata source:	(Preuzeto iz Nasi u WoS) (Preuzeto iz ORCID-a) Lendak, Imre
Availability note:	Пуни текст није јавно доступан
M-category:	Mp. category will be shown later

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