Paper · arXiv
Detection of Adversarial Attacks in Robotic Perception
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.
| Authors | Ziad Sharawy, Mohammad Nakshbandi, Sorin Mihai Grigorescu |
|---|---|
| Primary category | cs.CV |
| Published | 30 March 2026 |
| Last updated at source | 31 March 2026 |
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