Search-based adversarial testing and improvement of constrained credit scoring systems

Reference : Search-based adversarial testing and improvement of constrained credit scoring systems


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/45695

Title :	Search-based adversarial testing and improvement of constrained credit scoring systems
Language :	English
Author, co-author :	Ghamizi, Salah [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Cordy, Maxime [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal >]
	Gubri, Martin [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal >]
	Papadakis, Mike [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Boystov, Andrey []
	Le Traon, Yves [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal >]
	Goujon, Anne []
Publication date :	2020
Main document title :	ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '20), November 8-13, 2020
Peer reviewed :	Yes
Event name :	28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Event date :	from 8-11-2020 to 13-11-2020
Permalink :	http://hdl.handle.net/10993/45695
FnR project :	FnR ; FNR12669767 > Yves Le Traon > STELLAR > Testing Self-learning Systems > 01/09/2019 > 31/08/2022 > 2018

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