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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 1
227-231

Defect sample generation algorithm based on differential evolution

Fan Chunlong
Su Tong
Teng Yiping
Wang Yixin
Ding Guohui
Large-scale Distributed System Laboratory in Liaoning Province, School of Computer, Shenyang Aerospace University, Shenyang 110136, China
DOI: 10.19734/j.issn.1001-3695.2019.10.0623

Abstract

Black box attack is mainly focuses on the decision information, but there are many query times and the selection of sensitive pixels is difficult. Therefore, this paper proposed a defect sample generation algorithm based on differential evolution. By defining the black box attack as an unconstrained optimization problem, the algorithm used differential evolution to search image sensitive points, and optimized the loss function of decision definition and gradient calculation based on the deep learning model to achieve an effective black box attack. On MNIST and CIFAR10 datasets, the average query times of the proposed algorithm decreased by 28.3% and 14.8% respectively under the same attack success rate.

Foundation Support

国家自然科学基金资助项目(61902260)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.10.0623
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 1
Section: Technology of Information Security
Pages: 227-231
Serial Number: 1001-3695(2021)01-045-0227-05

Publish History

[2021-01-05] Printed Article

Cite This Article

范纯龙, 宿彤, 滕一平, 等. 基于差分进化的缺陷样本生成算法 [J]. 计算机应用研究, 2021, 38 (1): 227-231. (Fan Chunlong, Su Tong, Teng Yiping, et al. Defect sample generation algorithm based on differential evolution [J]. Application Research of Computers, 2021, 38 (1): 227-231. )

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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