Reinforcement Learning-based Adversarial Attacks on Object Detectors using Reward Shaping-Reference-Cited by-同舟云学术

Reinforcement Learning-based Adversarial Attacks on Object Detectors using Reward Shaping

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Shi Zhenbo¹^ORCID,Yang Wei²^ORCID,Xu Zhenbo³^ORCID,Yu Zhidong¹^ORCID,Huang Liusheng¹^ORCID

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. Hefei National Laboratory & University of Science and Technology of China, Hefei, China

3. Hangzhou Innovation Institute & Beihang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Innovation Program for Quantum Science and Technology

China Postdoctoral Science Foundation

Natural Science Foundation of Zhejiang province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612304

Reference30 articles.

1. Adversarial Attacks on Face Detectors Using Neural Net Based Constrained Optimization

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3. Ian J Goodfellow , Jonathon Shlens , and Christian Szegedy . 2014. Explaining and harnessing adversarial examples. arXiv preprint arXiv:1412.6572 ( 2014 ). Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy. 2014. Explaining and harnessing adversarial examples. arXiv preprint arXiv:1412.6572 (2014).

4. Mask R-CNN

5. Hao Huang , Yongtao Wang , Zhaoyu Chen , Zhi Tang , Wenqiang Zhang , and Kai-Kuang Ma . 2021 . Rpattack: Refined Patch Attack on General Object Detectors. In 2021 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 1--6. Hao Huang, Yongtao Wang, Zhaoyu Chen, Zhi Tang, Wenqiang Zhang, and Kai-Kuang Ma. 2021. Rpattack: Refined Patch Attack on General Object Detectors. In 2021 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 1--6.