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

Oluwaseyi Feyisetan|Borja Balle|Thomas Drake|Tom Diethe


Anthology ID:DBLP:conf/wsdm/FeyisetanBDD20
Volume:WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020
Year:2020
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:178-186
URL:https://doi.org/10.1145/3336191.3371856
DOI:https://doi.org/10.1145/3336191.3371856
DBLP:conf/wsdm/FeyisetanBDD20
BibTeX:
@inproceedings{feyisetan-2020-privacy, author = {Oluwaseyi Feyisetan and Borja Balle and Thomas Drake and Tom Diethe}, editor = {James Caverlee and Xia Ben Hu and Mounia Lalmas-Roelleke and Wei Wang}, title = {{Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations}}, booktitle = {{WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020}}, pages = {178--186}, publisher = {ACM}, year = {2020}, url = {https://doi.org/10.1145/3336191.3371856}, doi = {https://doi.org/10.1145/3336191.3371856} }