Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation CVPR Proceedings

Deep neural networks (DNNs) are susceptible to adversarial images, raising concerns about their reliability in safety-critical tasks. Sparse adversarial attacks, which limit the number of modified pixels, have shown to be highly effective in causing DNNs to misclassify. However, existing methods oft...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 12291 - 12301
Main Authors:	Williams, Phoenix Neale, Li, Ke
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2023
Subjects:	Adversarial attack and defense Artificial neural networks Classification algorithms Computer network reliability Computer vision Evolutionary computation Pattern recognition Security
ISSN:	1063-6919
Online Access:	Get full text
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