Chinese Journal of Network and Information Security ›› 2020, Vol. 6 ›› Issue (4): 130-139.doi: 10.11959/j.issn.2096-109x.2020050

• Papers • Previous Articles     Next Articles

Design method of secure computing protocol for deep neural network

Renwan BI1,Qianxin CHEN1,Jinbo XIONG1(),Ximeng LIU2   

  1. 1 College of Mathematics and Informatics,Fujian Normal University,Fuzhou 350117,China
    2 College of Mathematics and computer science,Fuzhou University,Fuzhou 350108,China
  • Revised:2020-07-03 Online:2020-08-15 Published:2020-08-13
  • Supported by:
    The National Natural Science Foundation of China(61872088);The National Natural Science Foundation of China(U1804263);The National Natural Science Foundation of China(61702105);The National Natural Science Foundation of China(61872090);The Natural Science Foundation of Fujian Province,China(2019J01276);The Guizhou Provincial Key Laboratory of Public Big Data Research Fund(2019BDKFJJ004)

Abstract:

Aiming at the information leakage problem in the process of deep neural network model calculation,a series of secure and efficient interactive computing protocols were designed between two non-collusive edge servers in combination with the additive secret sharing scheme.Since the nonlinear function cannot be split directly,a set of basic conversion protocols were proposed to realize the secure conversion of additive and multiplicative shares.After a few invokes,the power,comparison,exponential,logarithm,division and other low-level functions can be calculated securely.Due to the characteristics of data transfer and computation,the proposed protocols can be extended to array computation.Theoretical analysis ensures the correctness,efficiency and security of these protocols.The experimental results show that the error of these protocols is negligible,and the computational costs and communication overhead are better than the existing schemes.

Key words: deep neural network, additive secret sharing, secure computing protocol, add-multiply transformation, array unit

CLC Number: 

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