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Physical Adversarial Clothing Evades Visible-Thermal Detectors via Non-Overlapping RGB-T Pattern

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a novel method for physical adversarial attacks against visible-thermal (RGB-T) object detectors, commonly used in applications like autonomous driving. The approach utilizes specially designed clothing with a non-overlapping RGB-T pattern (NORP) that evades detection in both digital and physical environments. This NORP design, optimized using a spatial discrete-continuous optimization (SDCO) method, aims to improve attack success rates across various fusion architectures. AI

IMPACT This research highlights potential security vulnerabilities in multimodal AI systems, particularly those used in safety-critical applications like autonomous driving.

RANK_REASON This is a research paper detailing a novel method for adversarial attacks on computer vision systems.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Physical Adversarial Clothing Evades Visible-Thermal Detectors via Non-Overlapping RGB-T Pattern

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This is a research paper detailing a novel method for adversarial attacks on computer vision systems.
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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Xiaopei Zhu, Guanning Zeng, Zhanhao Hu, Jun Zhu, Xiaolin Hu ·

    Physical Adversarial Clothing Evades Visible-Thermal Detectors via Non-Overlapping RGB-T Pattern

    arXiv:2605.04675v1 Announce Type: new Abstract: Visible-thermal (RGB-T) object detection is a crucial technology for applications such as autonomous driving, where multimodal fusion enhances performance in challenging conditions like low light. However, the security of RGB-T dete…

  2. arXiv cs.CV TIER_1 English(EN) · Xiaolin Hu ·

    Physical Adversarial Clothing Evades Visible-Thermal Detectors via Non-Overlapping RGB-T Pattern

    Visible-thermal (RGB-T) object detection is a crucial technology for applications such as autonomous driving, where multimodal fusion enhances performance in challenging conditions like low light. However, the security of RGB-T detectors, particularly in the physical world, has b…

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