Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition

Author:

Deng JiaCheng1ORCID,Dong Li2ORCID,Chen Jiahao2ORCID,Yan Diqun2ORCID,Wang Rangding2ORCID,Ye Dengpan3ORCID,Zhao Lingchen3ORCID,Tian Jinyu4ORCID

Affiliation:

1. Ningbo University & Wuhan University, Ningbo & Wuhan, China

2. Ningbo University, Ningbo, China

3. Wuhan University, Wuhan, China

4. Macau University of Science and Technology, Macau, China

Funder

Zhejiang Provincial Natural Science Foundation of China

the National Natural Science Foundation of China

Publisher

ACM

Reference26 articles.

1. Anish Athalye , Logan Engstrom , Andrew Ilyas , and Kevin Kwok . 2018 . Synthesizing robust adversarial examples . In In Proceedings of the International Conference on Machine Learning. 284--293 . Anish Athalye, Logan Engstrom, Andrew Ilyas, and Kevin Kwok. 2018. Synthesizing robust adversarial examples. In In Proceedings of the International Conference on Machine Learning. 284--293.

2. Youngmin Baek , Bado Lee , Dongyoon Han , Sangdoo Yun , and Hwalsuk Lee . 2019 . Character Region Awareness for Text Detection. In In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, and Hwalsuk Lee. 2019. Character Region Awareness for Text Detection. In In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

3. Darwin Bautista and Rowel Atienza . 2022 . Scene Text Recognition with Permuted Autoregressive Sequence Models. In In Proceedings of the European Conference on Computer Vision. 178--196 . Darwin Bautista and Rowel Atienza. 2022. Scene Text Recognition with Permuted Autoregressive Sequence Models. In In Proceedings of the European Conference on Computer Vision. 178--196.

4. Lu Chen and Wei Xu. 2020. Attacking optical character recognition (ocr) systems with adversarial watermarks. arXiv preprint arXiv:2002.03095 ( 2020 ). Lu Chen and Wei Xu. 2020. Attacking optical character recognition (ocr) systems with adversarial watermarks. arXiv preprint arXiv:2002.03095 (2020).

5. Boosting Adversarial Attacks with Momentum

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