Strategy and Feasibility Study for the Construction of High Resolution Images Adversarial Against Convolutional Neural Networks

Reference : Strategy and Feasibility Study for the Construction of High Resolution Images Adversa...


	Document type :	Parts of books : Contribution to collective works
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/53022

Title :	Strategy and Feasibility Study for the Construction of High Resolution Images Adversarial Against Convolutional Neural Networks
Language :	English
Author, co-author :	Leprevost, Franck [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Topal, Ali Osman [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Avdusinovic, Elmir [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Chitic, Ioana Raluca [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Publication date :	8-Dec-2022
Main document title :	ACIIDS 2022: Intelligent Information and Database Systems
Publisher :	Springer
Pages :	285-298
Peer reviewed :	Yes
ISBN :	978-3-031-21743-2
Research centres :	University of Luxembourg: High Performance Computing - ULHPC
Permalink :	http://hdl.handle.net/10993/53022
DOI :	10.1007/978-3-031-21743-2_23

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