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.

Ziad Sharawy, Mohammad Nakshbandi, Sorin Mihai Grigorescu · 2026