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Survey on Privacy-Preserving Machine Learning Protocols

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Machine Learning for Cyber Security (ML4CS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12486))

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Abstract

Machine learning, especially deep learning, is a hot research field in academia, and it is revolutionizing industry. However, the privacy-preserving problems are not solved. In this paper, we investigate the privacy-preserving technology in machine learning application. We first introduce the models in privacy-preserving machine learning protocols, and then we give an overview of the main privacy-preserving machine learning technologies. At last, we analyze the existing problems.

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Author information

Authors and Affiliations

  1. School of Management and Engineering, Capital University of Economics and Business, Beijing, 100070, China

    Ruidi Yang

Authors
  1. Ruidi Yang
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Correspondence to Ruidi Yang .

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Editors and Affiliations

  1. Xidian University, Xi'an, China

    Xiaofeng Chen

  2. Guangzhou University, Guangzhou, China

    Hongyang Yan

  3. Michigan State University, East Lansing, MI, USA

    Qiben Yan

  4. Division of Computer, Electrical and Mathematical Sciences and Engineering, King Abdullah University of Science, Thuwal, Saudi Arabia

    Xiangliang Zhang

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Yang, R. (2020). Survey on Privacy-Preserving Machine Learning Protocols. In: Chen, X., Yan, H., Yan, Q., Zhang, X. (eds) Machine Learning for Cyber Security. ML4CS 2020. Lecture Notes in Computer Science(), vol 12486. Springer, Cham. https://doi.org/10.1007/978-3-030-62223-7_36

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  • DOI: https://doi.org/10.1007/978-3-030-62223-7_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62222-0

  • Online ISBN: 978-3-030-62223-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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