Meeting in Mathematical Statistics: Statistical thinking in the age of AI : robustness, fairness and privacy / Rencontre de Statistique Mathématique

Collection Meeting in Mathematical Statistics: Statistical thinking in the age of AI : robustness, fairness and privacy / Rencontre de Statistique Mathématique

Organizer(s) Klopp, Olga ; Ndaoud, Mohamed ; Pouet, Christophe ; Rakhlin, Alexander
Date(s) 18/12/2023 - 22/12/2023
linked URL https://conferences.cirm-math.fr/3087.html
00:00:00 / 00:00:00
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Privacy: definitions, procedures, open problems

By John Duchi

I will provide a broad overview of differential privacy, which provides guarantees that a data analysis protects the privacy of data contributors. The main focus will be on the private computation and release of different statistics, both classical (low-dimensional) and high-dimensional statistics. In addition to giving a high-level program for the development of optimal private estimators, I will likely discuss a few open questions as well.

Information about the video

  • Date of recording 18/12/2023
  • Date of publication 08/01/2024
  • Institution CIRM
  • Licence CC BY NC ND
  • Language English
  • Director(s) Luca Recanzone
  • Format MP4

Citation data

  • DOI 10.24350/CIRM.V.20120303
  • Cite this video Duchi, John (18/12/2023). Privacy: definitions, procedures, open problems. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.20120303
  • URL https://dx.doi.org/10.24350/CIRM.V.20120303

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