AP-GAN: Adversarial patch attack on content-based image retrieval systems

Key Smart City applications such as traffic management and public security rely heavily on the intelligent processing of video and image data, often in the form of visual retrieval tasks, such as person Re-IDentification (ReID) and vehicle re-identification. For these tasks, Deep Neural Networks (DN...

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Veröffentlicht in:	GeoInformatica Jg. 26; H. 2; S. 347 - 377
Hauptverfasser:	Zhao, Guoping, Zhang, Mingyu, Liu, Jiajun, Li, Yaxian, Wen, Ji-Rong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2022 Springer Springer Nature B.V
Schlagworte:	Artificial neural networks Camouflage Computer Science Data Structures and Information Theory Generative adversarial networks Geographical Information Systems/Cartography Identification Image management Image retrieval Information Storage and Retrieval Liquors Machine learning Multimedia Information Systems Neural networks Perturbation Perturbations Queries Security Smart cities Technology application Traffic management Visual tasks Adversarial patch Adversarial attack Image retrieval GAN
ISSN:	1384-6175, 1573-7624
Online-Zugang:	Volltext
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