Achieving Differential Privacy and Fairness in Logistic Regression.
Depeng Xu|Shuhan Yuan|Xintao Wu
| Anthology ID: | DBLP:conf/www/XuYW19 |
|---|---|
| Volume: | Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. |
| Year: | 2019 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 594-599 |
| URL: | https://doi.org/10.1145/3308560.3317584 |
| DOI: | https://doi.org/10.1145/3308560.3317584 |
| DBLP: | conf/www/XuYW19 |
| BibTeX: |
@inproceedings{xu-2019-achieving,
author = {Depeng Xu and
Shuhan Yuan and
Xintao Wu},
editor = {Sihem Amer-Yahia and
Mohammad Mahdian and
Ashish Goel and
Geert-Jan Houben and
Kristina Lerman and
Julian J. McAuley and
Ricardo Baeza-Yates and
Leila Zia},
title = {{Achieving Differential Privacy and Fairness in Logistic Regression}},
booktitle = {{Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}},
pages = {594--599},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3308560.3317584},
doi = {https://doi.org/10.1145/3308560.3317584}
}