Privacy-Preserving Computations of Predictive Medical Models with Minimax Approximation and Non-Adjacent Form

Jung Hee Cheon, Jinhyuck Jeong, Joohee Lee, Keewoo Lee. Privacy-Preserving Computations of Predictive Medical Models with Minimax Approximation and Non-Adjacent Form. In Michael Brenner, Kurt Rohloff, Joseph Bonneau, Andrew Miller, Peter Y. A. Ryan, Vanessa Teague, Andrea Bracciali, Massimiliano Sala, Federico Pintore, Markus Jakobsson, editors, Financial Cryptography and Data Security - FC 2017 International Workshops, WAHC, BITCOIN, VOTING, WTSC, and TA, Sliema, Malta, April 7, 2017, Revised Selected Papers. Volume 10323 of Lecture Notes in Computer Science, pages 53-74, Springer, 2017. [doi]

@inproceedings{CheonJLL17,
  title = {Privacy-Preserving Computations of Predictive Medical Models with Minimax Approximation and Non-Adjacent Form},
  author = {Jung Hee Cheon and Jinhyuck Jeong and Joohee Lee and Keewoo Lee},
  year = {2017},
  doi = {10.1007/978-3-319-70278-0_4},
  url = {https://doi.org/10.1007/978-3-319-70278-0_4},
  researchr = {https://researchr.org/publication/CheonJLL17},
  cites = {0},
  citedby = {0},
  pages = {53-74},
  booktitle = {Financial Cryptography and Data Security - FC 2017 International Workshops, WAHC, BITCOIN, VOTING, WTSC, and TA, Sliema, Malta, April 7, 2017, Revised Selected Papers},
  editor = {Michael Brenner and Kurt Rohloff and Joseph Bonneau and Andrew Miller and Peter Y. A. Ryan and Vanessa Teague and Andrea Bracciali and Massimiliano Sala and Federico Pintore and Markus Jakobsson},
  volume = {10323},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-70278-0},
}