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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Vydané v:	Applied sciences Ročník 15; číslo 3; s. 1328
Hlavní autori:	Sattout, Ahmad Fakhr Aldeen, Chehab, Ali, Mohanna, Ammar, Tajeddine, Razane
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.02.2025
Predmet:	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
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