Anonymization as homeomorphic data space transformation for privacy-preserving deep learning

Anastasiia Girka, Vagan Y. Terziyan, Mariia Gavriushenko, Andrii Gontarenko. Anonymization as homeomorphic data space transformation for privacy-preserving deep learning. In Francesco Longo 0002, Michael Affenzeller, Antonio Padovano, editors, Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), Virtual Event, Austria, 23-25 November 2020. Volume 180 of Procedia Computer Science, pages 867-876, Elsevier, 2020. [doi]

@inproceedings{GirkaTGG20,
  title = {Anonymization as homeomorphic data space transformation for privacy-preserving deep learning},
  author = {Anastasiia Girka and Vagan Y. Terziyan and Mariia Gavriushenko and Andrii Gontarenko},
  year = {2020},
  doi = {10.1016/j.procs.2021.01.337},
  url = {https://doi.org/10.1016/j.procs.2021.01.337},
  researchr = {https://researchr.org/publication/GirkaTGG20},
  cites = {0},
  citedby = {0},
  pages = {867-876},
  booktitle = {Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), Virtual Event, Austria, 23-25 November 2020},
  editor = {Francesco Longo 0002 and Michael Affenzeller and Antonio Padovano},
  volume = {180},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}