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Article (Scientific journals)
Evolutionary Algorithm-based images, humanly indistinguishable and adversarial against Convolutional Neural Networks: efficiency and filter robustness
CHITIC, Ioana Raluca; TOPAL, Ali Osman; LEPREVOST, Franck
2021 • In IEEE Access
Peer Reviewed verified by ORBi
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https://hdl.handle.net/10993/49149
DOI
10.1109/ACCESS.2021.3131255
 

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Keywords :
adversarial attacks; image classification; evolutionary algorithms
Disciplines :
Computer science
Author, co-author :
CHITIC, Ioana Raluca ;  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)
LEPREVOST, Franck ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
no
Language :
English
Title :
Evolutionary Algorithm-based images, humanly indistinguishable and adversarial against Convolutional Neural Networks: efficiency and filter robustness
Publication date :
01 December 2021
Journal title :
IEEE Access
ISSN :
2169-3536
Publisher :
Institute of Electrical and Electronics Engineers, Piscataway, United States - New Jersey
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 28 December 2021

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