English(EN) Digital-to-Physical Transfer of Adversarial Patches for Aerial Vehicle Detection

物理对抗性补丁欺骗航空器检测器

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-02 04:00

研究人员开发了一种方法，可以创建物理对抗性补丁，以欺骗基于深度神经网络的航空器检测器。这些补丁经过数字优化，并考虑了可打印性和平滑度约束，然后进行打印并在实际条件下进行测试。虽然一种补丁配置的数字优化显示出高有效性，但另一种在物理环境中更具鲁棒性，凸显了航空器检测系统中的实际安全漏洞。 AI

影响凸显了人工智能驱动的航空监视和检测系统的实际漏洞，需要改进鲁棒性措施。

排序理由这是一篇研究论文，详细介绍了一种用于对象检测系统创建对抗性补丁的新颖方法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Jung Heum Woo, Eun-Kyu Lee · 2026-06-02 04:00

面向航空器检测的数字到物理对抗性补丁迁移

arXiv:2606.00159v1 Announce Type: cross Abstract: Deep neural network (DNN)-based object detectors are widely used for analyzing aerial and satellite imagery in applications such as environmental monitoring and urban analytics. Despite their strong performance, these models are k…