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.
The Saddle-Point Method in Differential Privacy [link]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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