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.

翻译：深度神经网络在机器人感知的语义分割任务中表现出色，但仍易受对抗攻击影响，这威胁到安全关键应用。尽管鲁棒性已在图像分类领域得到研究，但机器人场景中的语义分割需要专门的架构和检测策略。