Submit

Login Login

Register Register

Home / Advanced Search
News & Announcements

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
Show export options
  • Articles
  • Online
Search Results (1)

  • Open Access

    ARTICLE

    A Privacy Preserving Deep Linear Regression Scheme Based on Homomorphic Encryption

    Danping Dong1, *, Yue Wu1, Lizhi Xiong1, Zhihua Xia1

    Journal on Big Data, Vol.1, No.3, pp. 145-150, 2019, DOI:10.32604/jbd.2019.08706

    Abstract This paper proposes a strategy for machine learning in the ciphertext domain. The data to be trained in the linear regression equation is encrypted by SHE homomorphic encryption, and then trained in the ciphertext domain. At the same time, it is guaranteed that the error of the training results between the ciphertext domain and the plaintext domain is in a controllable range. After the training, the ciphertext can be decrypted and restored to the original plaintext training data. More >

    View

    4248

    Download

    2042

    Like

    0

Displaying 1-10 on page 1 of 1. Per Page  

Contact Us

Copyright© 2024 Tech Science Press
© 1997-2024 TSP (Henderson, USA) unless otherwise stated