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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 7
2172-2177

Defense method for senseless noise attack in pedestrian re-identification system

Wang Jin1,2
Zhang Rong2
1. School of Computer & Information Engineering, Nantong Institute of Technology, Nantong Jiangsu 226000, China
2. School of Information Science & Technology, Nantong University, Nantong Jiangsu 226000, China
DOI: 10.19734/j.issn.1001-3695.2021.11.0659

Abstract

The application of deep learning to the task of pedestrian re-identification has made great progress. However, deep learning has exposed some security issues in pedestrian re-identification model applications due to the robustness of deep neural networks that are vulnerable to attacks by adversarial samples. To address this problem, this paper proposed a defense method DSN for senseless noise attacks. First, it used grayscale patch images of RGB images to enhance the data during the training process, so as to improve the recognition ability of the pedestrian re-identification model. Secondly, it adopted a defense structure combining the inside and outside of the model and used a new noise reduction network to de-noise the input noisy images, so that the pedestrian re-identification model had higher recognition accuracy and defense against senseless noise attacks. Simulating the senseless noise attack and defense on the market1501 dataset, the experimental results show that the method improves the mAP identification accuracy from 2.6% to 82.6% and rank-1 accuracy from 0.8% to 83.5%. In addition, the effectiveness of each module in the method to defend against the senseless noise attack is demonstrated by ablation experiments.

Foundation Support

国家自然科学基金资助项目(62002179)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.11.0659
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 7
Section: Technology of Information Security
Pages: 2172-2177
Serial Number: 1001-3695(2022)07-041-2172-06

Publish History

[2022-02-16] Accepted Paper
[2022-07-05] Printed Article

Cite This Article

王进, 张荣. 行人再识别系统中无感噪声攻击的防御方法 [J]. 计算机应用研究, 2022, 39 (7): 2172-2177. (Wang Jin, Zhang Rong. Defense method for senseless noise attack in pedestrian re-identification system [J]. Application Research of Computers, 2022, 39 (7): 2172-2177. )

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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