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（DNN）在机器人感知的语义分割任务中表现优异，但易受对抗攻击的威胁，这对安全关键型应用构成了风险。尽管图像分类领域的鲁棒性研究已较为充分，但机器人场景下的语义分割需要专门的架构与检测策略。