AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors
Hao Li, Fanggao Wan, Yue Su, Yue Wu, Mingyang Zhang, Maoguo Gong
Abstract
When the current physical adversarial patches cannot deceive thermal infrared detectors, the existing techniques implement adversarial attacks from scratch, such as digital patch generation, material production, and physical deployment. Besides, it is difficult to finely regulate infrared radiation. To address these issues, this paper designs an adversarial thermal display (AdvDisplay ) by assembling thermoelectric coolers (TECs) as an array. Specifically, to reduce the gap between patches in the physical and digital worlds and decrease the power of AdvDisplay device, heat transfer loss and electric power loss are designed to guide the patch optimization. In addition, a precise temperature control scheme for AdvDisplay is proposed based on proportional-integral-derivative (PID) control. Due to the accurate temperature regulation and the reusability of AdvDisplay , our method is able to improve the attack success rate and the efficiency of physical deployments. Extensive experimental results indicate that the proposed method possesses superior adversarial effectiveness compared to other methods and demonstrates strong robustness in physical attacks.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Builds on9
- Adversarial Texture for Fooling Person Detectors in the Physical WorldZhanhao Hu, Siyuan Huang, Xiaopei Zhu, Fuchun Sun et al.CVPR 2022 · 125 citations
- Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small BulbsXiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang et al.AAAI 2021 · 108 citations
- Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real WorldXiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li et al.CVPR 2022 · 67 citations
- Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated GradientsWenshuo Ma, Yidong Li, Xiaofeng Jia, Wei XuICCV 2023 · 62 citations
- Unified Adversarial Patch for Cross-modal Attacks in the Physical WorldXingxing Wei, Yao Huang, Yitong Sun, Jie YuICCV 2023 · 44 citations
Related papers
- Physically Adversarial Infrared Patches with Learnable Shapes and LocationsXingxing Wei, Jie Yu, Yao HuangCVPR 2023
- Thermally Activated Dual-Modal Adversarial Clothing against AI Surveillance SystemsJiahuan Long, Tingsong Jiang, Hanqing Liu, Chao Ma et al.CVPR 2026 · 3 citations
- Infrared Adversarial Car StickersXiaopei Zhu, Yuqiu Liu, Zhanhao Hu, Jianmin Li et al.CVPR 2024 · 2 citations
- Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object DetectionYixing Yong, Jian Wang, Ming Lei, Lijun He et al.ICML 2026
- Legitimate Adversarial Patches: Evading Human Eyes and Detection Models in the Physical WorldJia Tan, Nan Ji, Haidong Xie, Xueshuang XiangACM MM 2021 · 44 citations
