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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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-12-01
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Series: | Results in Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024012763 |
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