Image Segmentation Framework for Detecting Adversarial Attacks for Autonomous Driving Cars

The widespread deployment of deep neural networks (DNNs) in critical real-time applications has spurred significant research into their security and robustness. A key vulnerability identified is that DNN decisions can be maliciously altered by introducing carefully crafted noise into the input data,...

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Veröffentlicht in:	Applied sciences Jg. 15; H. 3; S. 1328
Hauptverfasser:	Sattout, Ahmad Fakhr Aldeen, Chehab, Ali, Mohanna, Ammar, Tajeddine, Razane
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.02.2025
Schlagworte:	adversarial attacks detection Algorithms autonomous driving cars deep learning image and mask segmentation Image processing k-means Neural networks Safety and security measures Support vector machines Germany
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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