"A Study on a DDH-Based Keyed Homomorphic Encryption Suitable to Machine ..."

Takuya Tsuruta et al. (2022)

> Home

Details and statistics

DOI: 10.1109/ICCE-TAIWAN55306.2022.9869098

access: closed

type: Conference or Workshop Paper

metadata version: 2022-09-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icce-tw/TsurutaAMUK22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icce-tw/TsurutaAMUK22
Takuya Tsuruta, Shunsuke Araki, Takeru Miyazaki, Satoshi Uehara, Ken'ichi Kakizaki:
A Study on a DDH-Based Keyed Homomorphic Encryption Suitable to Machine Learning in the Cloud. ICCE-TW 2022: 167-168

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.