Article (Scientific journals)
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems
Ozbulak, Utku; Vandersmissen, Baptist; Jalalvand, Azarakhsh et al.
2021In Computer Vision and Image Understanding, 202, p. 103111
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Keywords :
Radar data; Activity recognition; Adversarial examples; Neural network interpretability; Deep convolutional neural networks
Disciplines :
Computer science
Author, co-author :
Ozbulak, Utku
Vandersmissen, Baptist
Jalalvand, Azarakhsh
Couckuyt, Ivo
Van Messem, Arnout  ;  Université de Liège - ULiège > Département de mathématique > Statistique applquée aux sciences
De Neve, Wesley
Language :
English
Title :
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems
Publication date :
2021
Journal title :
Computer Vision and Image Understanding
ISSN :
1077-3142
eISSN :
1090-235X
Publisher :
Elsevier, Atlanta, United States - Missouri
Volume :
202
Pages :
103111
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 11 March 2021

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