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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 8
2543-2548,2555

Research on adversarial image perturbation algorithm for personal information protection

Wang Tao1
Ma Chuan2a
Chen Shuping2b
1. Business School, Hebei Normal University of Science & Technology, Qinhuangdao Hebei 066004, China
2. a. School of Information Science & Engineering, b. Library, Yanshan University, Qinhuangdao Hebei 066004, China
DOI: 10.19734/j.issn.1001-3695.2020.12.0418

Abstract

In order to protect personal information in images, this paper proposed an adversarial image perturbations algorithm to combat deep neural network, which could mine and discover personal image knowledge. It transformed the problem of adversarial example generation into a multi-objective optimization problem with constraints. Considering the classification confidence of the neural network, the location of the perturbed pixels and the chromatic aberration, this paper obtained the adversarial examples iteratively by using the differential evolution algorithm. On MNIST and CIFAR-10 dataset, based on deep neural network LeNet and ResNet, the algorithm generated the experiment of adversarial examples. This paper compared and analyzed the success rate, number of perturbation pixels, optimization effects and spatial characteristics of the adversarial examples. The results show that the proposed algorithm still can effectively combat the deep neural network in the case of few disturbed pixels(the average number of perturbation pixels is 5). The algorithm significantly optimizes the location and chromatic aberration of the perturbed pixels, so as to protect personal information without destroying the original image. This study is helpful to balance the relationship between information technology dividend sharing and personal information security, and provides technical support for the research of adversarial examples generation and classification spatial features in deep neural networks.

Foundation Support

河北省社会科学基金资助项目(HB18SH012)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.12.0418
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Technology of Graphic & Image
Pages: 2543-2548,2555
Serial Number: 1001-3695(2021)08-055-2543-06

Publish History

[2021-08-05] Printed Article

Cite This Article

王涛, 马川, 陈淑平. 面向个人信息保护的对抗性图像扰动算法研究 [J]. 计算机应用研究, 2021, 38 (8): 2543-2548,2555. (Wang Tao, Ma Chuan, Chen Shuping. Research on adversarial image perturbation algorithm for personal information protection [J]. Application Research of Computers, 2021, 38 (8): 2543-2548,2555. )

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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