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Empirical Inference Conference Paper 2024

Provable Privacy with Non-Private Pre-Processing

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Empirical Inference
Amartya Sanyal
Collaborator
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Empirical Inference
Bernhard Schölkopf
  • Director
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Empirical Inference
Yaxi Hu
  • Doctoral Researcher

Author(s): Hu, Y. and Sanyal, A. and Schölkopf, B.
Book Title: Proceedings of the 41st International Conference on Machine Learning (ICML)
Volume: 235
Pages: 19402--19437
Year: 2024
Month: July
Series: Proceedings of Machine Learning Research
Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix
Publisher: PMLR
Bibtex Type: Conference Paper (conference)
Event Place: Vienna, Austria
State: Published
URL: https://proceedings.mlr.press/v235/hu24m.html
Electronic Archiving: grant_archive

BibTex 

@conference{HuSanSch24,
  title = {Provable Privacy with Non-Private Pre-Processing},
  booktitle = {Proceedings of the 41st International Conference on Machine Learning (ICML)},
  volume = {235},
  pages = {19402--19437},
  series = {Proceedings of Machine Learning Research},
  editors = {Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix},
  publisher = {PMLR},
  month = jul,
  year = {2024},
  slug = {husansch24},
  author = {Hu, Y. and Sanyal, A. and Sch{\"o}lkopf, B.},
  url = {https://proceedings.mlr.press/v235/hu24m.html},
  month_numeric = {7}
}