Fairness Audit of Machine Learning Models with Confidential Computing.

Saerom Park|Seongmin Kim|Yeon-sup Lim


Anthology ID:DBLP:conf/www/ParkKL22
Volume:WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
Year:2022
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:3488-3499
URL:https://doi.org/10.1145/3485447.3512244
DOI:https://doi.org/10.1145/3485447.3512244
DBLP:conf/www/ParkKL22
BibTeX:
@inproceedings{park-2022-fairness, author = {Saerom Park and Seongmin Kim and Yeon-sup Lim}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{Fairness Audit of Machine Learning Models with Confidential Computing}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {3488--3499}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3512244}, doi = {https://doi.org/10.1145/3485447.3512244} }