Using Fully Homomorphic Encryption for Statistical Analysis of Categorical, Ordinal and Numerical Data

Wenjie Lu, Shohei Kawasaki, Jun Sakuma. Using Fully Homomorphic Encryption for Statistical Analysis of Categorical, Ordinal and Numerical Data. In 24th Annual Network and Distributed System Security Symposium, NDSS 2017, San Diego, California, USA, February 26 - March 1, 2017. The Internet Society, 2017. [doi]

@inproceedings{LuKS17,
  title = {Using Fully Homomorphic Encryption for Statistical Analysis of Categorical, Ordinal and Numerical Data},
  author = {Wenjie Lu and Shohei Kawasaki and Jun Sakuma},
  year = {2017},
  url = {https://www.ndss-symposium.org/ndss2017/ndss-2017-programme/using-fully-homomorphic-encryption-statistical-analysis-categorical-ordinal-and-numerical-data/},
  researchr = {https://researchr.org/publication/LuKS17},
  cites = {0},
  citedby = {0},
  booktitle = {24th Annual Network and Distributed System Security Symposium, NDSS 2017, San Diego, California, USA, February 26 - March 1, 2017},
  publisher = {The Internet Society},
}