Adversarial attack algorithm for traffic sign recognition

Deep learning suffers from the threat of adversarial attacks, and its defense methods have become a research hotspot. In all applications of deep learning, intelligent driving is an important and promising one, facing serious threat of adversarial attack in the meanwhile. To address the adversarial...

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Vydané v:	Multimedia tools and applications Ročník 84; číslo 29; s. 35137 - 35149
Hlavní autori:	Wang, Juan, Shi, Lei, Zhao, Yang, Zhang, Haoxi, Szczerbicki, Edward
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.09.2025 Springer Nature B.V
Predmet:	1231: IoT-driven Computer Vision Technology for Smart Transportation Applications Algorithms Artificial intelligence Black boxes Computer Communication Networks Computer Science Data Structures and Information Theory Deep learning Efficiency Multimedia Information Systems Neural networks Object recognition Signs Speaking Special Purpose and Application-Based Systems Street signs Traffic control Traffic signs Voice recognition Black box Traffic sign recognition Adversarial attack Algorithm security
ISSN:	1573-7721, 1380-7501, 1573-7721
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