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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 12291 - 12301
Hauptverfasser:	Williams, Phoenix Neale, Li, Ke
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2023
Schlagworte:	Adversarial attack and defense Artificial neural networks Classification algorithms Computer network reliability Computer vision Evolutionary computation Pattern recognition Security
ISSN:	1063-6919
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!