Physics-Based Adversarial Attack on Near-Infrared Human Detector for Nighttime Surveillance Camera Systems

Author:

Niu Muyao1ORCID,Li Zhuoxiao1ORCID,Zhan Yifan1ORCID,Nguyen Huy H.2ORCID,Echizen Isao2ORCID,Zheng Yinqiang1ORCID

Affiliation:

1. The University of Tokyo, Tokyo, Japan

2. National Institute of Informatics, Tokyo, Japan

Publisher

ACM

Reference45 articles.

1. Anish Athalye , Logan Engstrom , Andrew Ilyas , and Kevin Kwok . 2018 . Synthesizing robust adversarial examples . In International conference on machine learning. PMLR, 284--293 . Anish Athalye, Logan Engstrom, Andrew Ilyas, and Kevin Kwok. 2018. Synthesizing robust adversarial examples. In International conference on machine learning. PMLR, 284--293.

2. End-to-End Object Detection with Transformers

3. Nicholas Carlini and David Wagner. 2017. Towards evaluating the robustness of neural networks. In 2017 ieee symposium on security and privacy (sp). Ieee 39--57. Nicholas Carlini and David Wagner. 2017. Towards evaluating the robustness of neural networks. In 2017 ieee symposium on security and privacy (sp). Ieee 39--57.

4. Yunfeng Diao , Tianjia Shao , Yong-Liang Yang , Kun Zhou , and He Wang . 2021 . BASAR: black-box attack on skeletal action recognition . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 7597--7607 . Yunfeng Diao, Tianjia Shao, Yong-Liang Yang, Kun Zhou, and He Wang. 2021. BASAR: black-box attack on skeletal action recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 7597--7607.

5. Boosting Adversarial Attacks with Momentum

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