Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations

Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe. Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations. In James Caverlee, Xia (Ben) Hu, Mounia Lalmas, Wei Wang 0010, editors, WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020. pages 178-186, ACM, 2020. [doi]

@inproceedings{FeyisetanBDD20,
  title = {Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations},
  author = {Oluwaseyi Feyisetan and Borja Balle and Thomas Drake and Tom Diethe},
  year = {2020},
  doi = {10.1145/3336191.3371856},
  url = {https://doi.org/10.1145/3336191.3371856},
  researchr = {https://researchr.org/publication/FeyisetanBDD20},
  cites = {0},
  citedby = {0},
  pages = {178-186},
  booktitle = {WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020},
  editor = {James Caverlee and Xia (Ben) Hu and Mounia Lalmas and Wei Wang 0010},
  publisher = {ACM},
  isbn = {978-1-4503-6822-3},
}