Technology of Information Security
|
3760-3764

Targeted adversarial attack method for image retrieval based on feature weighted aggregation

Yang Fan
Li Yang
Miao Zhuang
Zhang Rui
Wang Jiabao
Li Hang
College of Command & Control Engineering, Army Engineering University of PLA, Nanjing 210007, China

Abstract

Image privacy leakage is an urgent problem to be solved in deep learning-based image retrieval systems. Using adversarial samples generated by the adversarial attack technology can achieve privacy protection to some extent. However, the existing targeted attack methods for image retrieval systems are susceptible to the quality and quantity of selected target samples, which can lead to poor attack effects. To solve this problem, this paper proposed a targeted adversarial attack method for image retrieval based on feature weighted aggregation. This method used the retrieval accuracy of the target image as weights to obtain the class features, which was generated by a small number of samples from the target class. Experimental results on two image retrieval datasets of RParis and ROxford show that the retrieval accuracy of the adversarial samples generated by this method improve by 38% on average compared with TMA method, and improve by 7.5% on average compared with DHTA method.

Foundation Support

国家自然科学基金青年科学基金资助项目(61806220)
国家重点研发计划资助项目(2017YFC0821905)
江苏省自然科学基金资助项目(BK20200581)
中国博士后科学基金资助项目(2020M683754,2021T140799)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.03.0113
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: Technology of Information Security
Pages: 3760-3764
Serial Number: 1001-3695(2021)12-043-3760-05

Publish History

[2021-12-05] Printed Article

Cite This Article

杨帆, 李阳, 苗壮, 等. 基于特征加权聚合的图像检索目标对抗攻击方法 [J]. 计算机应用研究, 2021, 38 (12): 3760-3764. (Yang Fan, Li Yang, Miao Zhuang, et al. Targeted adversarial attack method for image retrieval based on feature weighted aggregation [J]. Application Research of Computers, 2021, 38 (12): 3760-3764. )

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.

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