mlsanityData to 14 Oct 2026

Adversarial Infrared Blocks: A Multi-view Black-box Attack to Thermal Infrared Detectors in Physical World

arXiv 2304.10712 ↗First posted 21 Apr 2023cs.CV cs.AIcited by 11

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Abstract (arXiv)

Infrared imaging systems have a vast array of potential applications in pedestrian detection and autonomous driving, and their safety performance is of great concern. However, few studies have explored the safety of infrared imaging systems in real-world settings. Previous research has used physical perturbations such as small bulbs and thermal "QR codes" to attack infrared imaging detectors, but such methods are highly visible and lack stealthiness. Other researchers have used hot and cold blocks to deceive infrared imaging detectors, but this method is limited in its ability to execute attacks from various angles. To address these shortcomings, we propose a novel physical attack called adversarial infrared blocks (AdvIB). By optimizing the physical parameters of the adversarial infrared blocks, this method can execute a stealthy black-box attack on thermal imaging system from various angles. We evaluate the proposed method based on its effectiveness, stealthiness, and robustness. Our physical tests show that the proposed method achieves a success rate of over 80% under most distance and angle conditions, validating its effectiveness. For stealthiness, our method involves attaching the adversarial infrared block to the inside of clothing, enhancing its stealthiness. Additionally, we test the proposed method on advanced detectors, and experimental results demonstrate an average attack success rate of 51.2%, proving its robustness. Overall, our proposed AdvIB method offers a promising avenue for conducting stealthy, effective and robust black-box attacks on thermal imaging system, with potential implications for real-world safety and security applications.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 34 of its 49 references that are in the map. First posted on arXiv 21 Apr 2023.

Builds on

34 of 49 references.

References · 34

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  9. 2021Recent Advances in Adversarial Training for Adversarial Robustnesscited by 279
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  12. 2020Adversarial Camouflage: Hiding Physical-World Attacks with Natural Stylescited by 126
22 more
  1. 2022Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenoncited by 101
  2. 2022Adversarial Texture for Fooling Person Detectors in the Physical Worldcited by 96
  3. 2021Adversarial Sticker: A Stealthy Attack Method in the Physical Worldcited by 93
  4. 2019ColorFool: Semantic Adversarial Colorizationcited by 89
  5. 2022Frequency-driven Imperceptible Adversarial Attack on Semantic Similaritycited by 77
  6. 2021Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blinkcited by 75
  7. 2021FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attackcited by 74
  8. 2019Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distancecited by 73
  9. 2020The Translucent Patch: A Physical and Universal Attack on Object Detectorscited by 62
  10. 2021AdvDrop: Adversarial Attack to DNNs by Dropping Informationcited by 56
  11. 2021Fooling thermal infrared pedestrian detectors in real world using small bulbscited by 51
  12. 2022DTA: Physical Camouflage Attacks using Differentiable Transformation Networkcited by 51
  13. 2022Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Inputcited by 50
  14. 2022Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple Angles in Real Worldcited by 42
  15. 2023Physically Adversarial Infrared Patches with Learnable Shapes and Locationscited by 39
  16. 2022Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Priorcited by 38
  17. 2021TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systemscited by 36
  18. 2022Physical Backdoor Attacks to Lane Detection Systems in Autonomous Drivingcited by 31
  19. 2022HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Designcited by 27
  20. 2019Amora: Black-box Adversarial Morphing Attackcited by 17
  21. 2020Adversarial Rain Attack and Defensive Deraining for DNN Perceptioncited by 10
  22. 2023AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systemscited by 8

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 3; 2024: 1; 2025: 1; 2026: 6.

11 papers.