Evaluating the Robustness of Test Selection Methods for Deep Neural Networks

Reference : Evaluating the Robustness of Test Selection Methods for Deep Neural Networks


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/55868

Title :	Evaluating the Robustness of Test Selection Methods for Deep Neural Networks
Language :	English
Author, co-author :	Hu, Qiang [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal >]
	Guo, Yuejun []
	Xie, Xiaofei []
	Cordy, Maxime [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal >]
	Ma, We []
	Papadakis, Mike [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Le Traon, Yves [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal >]
Publication date :	2-Aug-2023
Journal title :	preprint
Peer reviewed :	No
Permalink :	http://hdl.handle.net/10993/55868

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Open access	Robustness_Test_Selection.pdf		Author preprint	1.4 MB	View/Open

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