Detection of Adversarial Attacks in Robotic Perception
Abstract
Deep Neural Networks (DNNs) achieve strong performance in semantic segmentation for robotic perception but remain vulnerable to adversarial attacks, threatening safety-critical applications. While robustness has been studied for image classification, semantic segmentation in robotic contexts requires specialized architectures and detection strategies. --- Source: arXiv:2603.28594v1 - http://arxiv.org/abs/2603.28594v1 PDF: https://arxiv.org/pdf/2603.28594v1 Original Link: http://arxiv.org/abs/260...
Description / Details
Deep Neural Networks (DNNs) achieve strong performance in semantic segmentation for robotic perception but remain vulnerable to adversarial attacks, threatening safety-critical applications. While robustness has been studied for image classification, semantic segmentation in robotic contexts requires specialized architectures and detection strategies.
Source: arXiv:2603.28594v1 - http://arxiv.org/abs/2603.28594v1 PDF: https://arxiv.org/pdf/2603.28594v1 Original Link: http://arxiv.org/abs/2603.28594v1
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Mar 31, 2026
Robotics
Robotics
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