Adversarial Texture for Fooling Person Detectors in the Physical World-Reference-Cited by-同舟云学术

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Adversarial Texture for Fooling Person Detectors in the Physical World

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Hu Zhanhao¹,Huang Siyuan¹,Zhu Xiaopei²,Sun Fuchun¹,Zhang Bo¹,Hu Xiaolin¹

Affiliation:

1. State Key Laboratory of Intelligent Technology and Systems, BNRist, Tsinghua University,Institute for Artificial Intelligence,Department of Computer Science and Technology,Beijing,China

2. Tsinghua University,School of Integrated Circuits,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879058.pdf?arnumber=9879058

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Black-box adversarial patch attacks using differential evolution against aerial imagery object detectors;Engineering Applications of Artificial Intelligence;2024-11

2. Enhancing robustness of person detection: A universal defense filter against adversarial patch attacks;Computers & Security;2024-11

3. Adversarial Infrared Curves: An attack on infrared pedestrian detectors in the physical world;Neural Networks;2024-10

4. State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems;Expert Systems with Applications;2024-09

5. Generation and Countermeasures of adversarial examples on vision: a survey;Artificial Intelligence Review;2024-07-08

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