The Saddle-Point Method in Differential Privacy. Alghamdi, W., Gómez, J. F., Asoodeh, S., Calmon, F. P., Kosut, O., & Sankar, L. In Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S., & Scarlett, J., editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, volume 202, of Proceedings of Machine Learning Research, pages 508–528, 2023. PMLR.
Paper bibtex @inproceedings{DBLP:conf/icml/AlghamdiGACKS23,
author = {Wael Alghamdi and
Juan Felipe G{\'{o}}mez and
Shahab Asoodeh and
Fl{\'{a}}vio P. Calmon and
Oliver Kosut and
Lalitha Sankar},
editor = {Andreas Krause and
Emma Brunskill and
Kyunghyun Cho and
Barbara Engelhardt and
Sivan Sabato and
Jonathan Scarlett},
title = {The Saddle-Point Method in Differential Privacy},
booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
2023, Honolulu, Hawaii, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {508--528},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v202/alghamdi23a.html},
timestamp = {Mon, 28 Aug 2023 17:23:08 +0200},
biburl = {https://dblp.org/rec/conf/icml/AlghamdiGACKS23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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