Technology of Information Security
|
2837-2841

Research on differential privacy protection for WGAN-GP algorithm

Yu Yana
Li Hongjiao
Li Jinguo
College of Computer Science & Technology, Shanghai University of Electric Power, Shanghai 201306, China

Abstract

In order to solve the problem of the attacker uses the generative adversarial network(GAN) technology to restore the data in the training process and leaks the user's private information, this paper proposed a differential privacy protection for Wasserstein generative adversarial network with gradient penalty(WGAN-GP) method. This method added accurately calculated Gaussian noise to the gradient during the deep learning training process, and used gradient penalty to perform gradient correction to achieve differential privacy protection. It used WGAN-GP to generate data that similar to the original data. Experimental results show that under the premise of ensure the availability of the data, the method can effectively protect the privacy information of the data and generate data with better quality.

Foundation Support

国家自然科学基金资助项目(61403247,61702321)
上海市科委地方能力建设项目(15110500700)
上海市信息安全综合管理技术研究重点实验室开放课题(AGK2015005)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.12.0557
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 9
Section: Technology of Information Security
Pages: 2837-2841
Serial Number: 1001-3695(2021)09-051-2837-05

Publish History

[2021-09-05] Printed Article

Cite This Article

于雅娜, 李红娇, 李晋国. 差分隐私保护WGAN-GP算法研究 [J]. 计算机应用研究, 2021, 38 (9): 2837-2841. (Yu Yana, Li Hongjiao, Li Jinguo. Research on differential privacy protection for WGAN-GP algorithm [J]. Application Research of Computers, 2021, 38 (9): 2837-2841. )

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  • 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.

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