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Search-based Test and Improvement of Machine-Learning-Based Anomaly Detection Systems
Cordy, Maxime; Muller, Steve; Papadakis, Mike et al.
2019In ACM SIGSOFT International Symposium on Software Testing and Analysis
Peer reviewed
 

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Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Security Design and Validation Research Group (SerVal)
Disciplines :
Computer science
Author, co-author :
Cordy, Maxime  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Muller, Steve
Papadakis, Mike ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
Le Traon, Yves ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
no
Language :
English
Title :
Search-based Test and Improvement of Machine-Learning-Based Anomaly Detection Systems
Publication date :
2019
Event name :
ACM SIGSOFT International Symposium on Software Testing and Analysis
Event date :
from 15-7-2019 to 19-7-2019
Audience :
International
Main work title :
ACM SIGSOFT International Symposium on Software Testing and Analysis
Peer reviewed :
Peer reviewed
FnR Project :
FNR11686509 - Continuous Development With Mutation Analysis And Testing, 2017 (01/09/2018-31/08/2021) - Michail Papadakis
Name of the research project :
CODEMATES
Funders :
FNR - Fonds National de la Recherche [LU]
Available on ORBilu :
since 03 August 2019

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