Deriving an Optimal Noise Adding Mechanism for Privacy-Preserving Machine Learning

Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler. Deriving an Optimal Noise Adding Mechanism for Privacy-Preserving Machine Learning. In Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, editors, Database and Expert Systems Applications - DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26-29, 2019, Proceedings. Volume 1062 of Communications in Computer and Information Science, pages 108-118, Springer, 2019. [doi]

@inproceedings{KumarRMF19,
  title = {Deriving an Optimal Noise Adding Mechanism for Privacy-Preserving Machine Learning},
  author = {Mohit Kumar and Michael Rossbory and Bernhard Alois Moser and Bernhard Freudenthaler},
  year = {2019},
  doi = {10.1007/978-3-030-27684-3_15},
  url = {https://doi.org/10.1007/978-3-030-27684-3_15},
  researchr = {https://researchr.org/publication/KumarRMF19},
  cites = {0},
  citedby = {0},
  pages = {108-118},
  booktitle = {Database and Expert Systems Applications - DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26-29, 2019, Proceedings},
  editor = {Gabriele Anderst-Kotsis and A Min Tjoa and Ismail Khalil},
  volume = {1062},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-27684-3},
}