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Technology of Information Security
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2184-2188

Watermarking for neural radiance field

Chen Lifeng
Liu Jia
Dong Weina
Sun Wenquan
Pan Xiaozhong
Key Laboratory of Network & Information Security under Chinese People Armed Police Force(PAP), Engineering University of PAP, Xi'an 710086, China

Abstract

This paper proposed a watermarking algorithm for neural radiance fields(NeRF) to address the copyright protection issue of implicit 3D models. The algorithm embedded watermarks into the images in the training set through an embedding network, and then utilized the NeRF model for 3D model modeling. It generated a backdoor image by the copyright verifier from a new perspective by providing a secret perspective as input to the neural radiation field. Subsequently, it designed a watermark extractor using the hyperparameterization method of the neural network to obtain the embedded watermark image from that perspective. In a black box scenario, once there was suspicion of unauthorized use of the 3D model, the verifier could extract watermarks from a secret perspective to verify network copyright. The experimental results demonstrate that the proposed algorithm not only yields good visual effects when extracting watermarks, but also exhibits robust resistance to different types of noise attacks.

Foundation Support

国家自然科学基金面上项目
国家自然科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.11.0571
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 7
Section: Technology of Information Security
Pages: 2184-2188
Serial Number: 1001-3695(2024)07-037-2184-05

Publish History

[2024-01-31] Accepted Paper
[2024-07-05] Printed Article

Cite This Article

陈立峰, 刘佳, 董炜娜, 等. 面向神经辐射场的水印算法 [J]. 计算机应用研究, 2024, 41 (7): 2184-2188. (Chen Lifeng, Liu Jia, Dong Weina, et al. Watermarking for neural radiance field [J]. Application Research of Computers, 2024, 41 (7): 2184-2188. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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