Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes

Poster (Scientific congresses and symposiums)

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

Permalink
https://hdl.handle.net/2268/290669

NeurIPS Poster.pdf

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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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