Technology of Information Security
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916-922

Flexible modal face presentation attack detection based on atrous single stream vision Transformer network

Xiao Lixuan
Feng Jun
Gao Yuhao
He Jingjing
School of Information Science & Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, China

Abstract

Flexible modal face presentation attack detection can break through the limitations of traditional multi-modal methods on modal consistency in model training and deployment, and it can deploy the unified model flexibly to real scenarios of multiple modals on demand. However, there are still issues with improved model performance and high demand for computing resources. Therefore, this paper proposed a single stream flexible modal face presentation attack detection network based on vision Transformer. Furthermore, this paper proposed the atrous patch embedding module to address the operational redundancy problem and reduce the input vector dimension, designed the modal encoding token to distinguish different modal features, and adopted a non-padding strategy to solve the modal absence problem essentially. The experimental results on publicly available multi-modal datasets show that this method can obtain the best ACER averages of 2.69% and 33.81% in the intra-domain and cross-domain evaluations, respectively, and has excellent in-domain and out-of-domain generalization performance, and balances performance across different sub-protocols compared to the existing three methods. It significantly reduces the quantities of calculations and parameters compared with multi-stream methods, and is more suitable for flexible and efficient deployment in modal absence scenarios.

Foundation Support

国家自然科学基金资助项目(61772070,61972267)
河北省高等学校科学技术研究重点项目(ZD2021333)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0319
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 3
Section: Technology of Information Security
Pages: 916-922
Serial Number: 1001-3695(2024)03-041-0916-07

Publish History

[2023-09-19] Accepted Paper
[2024-03-05] Printed Article

Cite This Article

肖立轩, 封筠, 高宇豪, 等. 基于空洞单流ViT网络的灵活模态人脸呈现攻击检测方法 [J]. 计算机应用研究, 2024, 41 (3): 916-922. (Xiao Lixuan, Feng Jun, Gao Yuhao, et al. Flexible modal face presentation attack detection based on atrous single stream vision Transformer network [J]. Application Research of Computers, 2024, 41 (3): 916-922. )

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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