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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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 12291 - 12301
Hlavní autori:	Williams, Phoenix Neale, Li, Ke
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2023
Predmet:	Adversarial attack and defense Artificial neural networks Classification algorithms Computer network reliability Computer vision Evolutionary computation Pattern recognition Security
ISSN:	1063-6919
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