Detection of sensors used for adversarial examples against machine learning models

Machine learning (ML) systems that utilize sensor inputs have become integral in various applications; however, they remain vulnerable to sensor-based adversarial example (AE) attacks, where compromised sensors can be exploited to manipulate system outputs. This study addresses the critical issue of...

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Bibliographic Details
Main Authors: Ade Kurniawan, Yuichi Ohsita, Masayuki Murata
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024012763
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