Adversarial patch attacks multispectral aerial object detectors system

Zhiyang Hu; Xing Yang; Haoqi Gao; Bin Qu; Liang Shi; Haoli Xu; Hongbo Yan

doi:10.1117/12.3032308

10 October 2024 Adversarial patch attacks multispectral aerial object detectors system

Zhiyang Hu, Xing Yang, Haoqi Gao, Bin Qu, Liang Shi, Haoli Xu, Hongbo Yan

Author Affiliations +

Proceedings Volume 13278, Seventh Global Intelligent Industry Conference (GIIC 2024); 132780N (2024) https://doi.org/10.1117/12.3032308
Event: Seventh Global Intelligent Industry Conference (GIIC 2024), 2024, Shenzhen, China

Abstract

Multispectral imaging systems are widely used in many security-sensitive areas, so it is crucial to study multispectral adversarial attack methods to assess the robustness of their detection systems. However, current research has focused on single-spectrum pedestrian detectors, and multispectral pedestrian detection adversarial attacks for aerial photography views have not been fully investigated. In this paper, we propose a new multispectral aerial photography adversarial attack. We establish an adversarial patch generation framework for attacking the aerial photography pedestrian detection system, design an adversarial patch with a barcode-like structure, and use an SPA-oriented optimization algorithm to study the effects of the shape, position and angle of the adversarial patch on the attack effect. Moreover, our designed adversarial patches have the same structure under visible light and infrared conditions, which is convenient for the subsequent physical transferability study. The experimental results show that the generated adversary patches produce good attack effects on two aerial multispectral detectors, and the effectiveness of this method in visible and infrared attacks is 72.46% and 44.22%, respectively.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhiyang Hu, Xing Yang, Haoqi Gao, Bin Qu, Liang Shi, Haoli Xu, and Hongbo Yan "Adversarial patch attacks multispectral aerial object detectors system", Proc. SPIE 13278, Seventh Global Intelligent Industry Conference (GIIC 2024), 132780N (10 October 2024); https://doi.org/10.1117/12.3032308

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE