English(EN) Physical Adversarial Examples for Person Detectors in Thermal Images Based on 3D Modeling

新型对抗性服装利用3D建模欺骗热成像人体检测器

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 04:00

研究人员开发了一种旨在欺骗热成像人体检测器的物理对抗性服装，该技术应用于自动驾驶和医疗诊断等领域。该服装利用3D建模模拟多角度场景，并采用气凝胶贴片构成，在热成像中显示为黑色方块。该方法在室内对YOLOv9检测器的攻击成功率为80.11%，在室外为76.85%，显著优于随机放置的贴片。 AI

影响这项研究突显了用于热成像检测的AI系统潜在的安全漏洞，影响了自动驾驶等安全关键应用。

排序理由详细介绍创建对抗样本新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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Signal score: 21 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
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arXiv cs.CV TIER_1 English(EN) · Xiaopei Zhu, Siyuan Huang, Zhanhao Hu, Jianmin Li, Jun Zhu, Xiaolin Hu · 2026-09-01 04:00

基于3D建模的热成像人体检测器的物理对抗样本

arXiv:2608.30839v1 Announce Type: new Abstract: Thermal Infrared detection is widely used in autonomous driving, medical AI, etc., but its security has only attracted attention recently. We propose infrared adversarial clothing designed to evade thermal person detectors in real-w…