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Poster (Scientific congresses and symposiums)
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes
Ozbulak, Utku
;
Pintor, Maura
;
Van Messem, Arnout
et al.
2021
•
35th Conference on Neural Information Processing Systems (NeurIPS 2021): Workshop on ImageNet: Past, Present, and Future
Peer reviewed
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https://hdl.handle.net/2268/290669
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Disciplines :
Computer science
Author, co-author :
Ozbulak, Utku
Pintor, Maura
Van Messem, Arnout
;
Université de Liège - ULiège > Département de mathématique > Statistique appliquée aux sciences
De Neve, Wesley
Language :
English
Title :
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes
Publication date :
13 December 2021
Event name :
35th Conference on Neural Information Processing Systems (NeurIPS 2021): Workshop on ImageNet: Past, Present, and Future
Event date :
December 13, 2021
Audience :
International
Peer reviewed :
Peer reviewed
Available on ORBi :
since 12 May 2022
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