Privacy amplification by random allocation

NeurIPSSpotlight2025

Authors
Moshe Shenfeld, Vitaly Feldman
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

We consider the privacy amplification properties of a sampling scheme in which a user's data is used in $k$ steps chosen randomly and uniformly from a sequence (or set) of $t$ steps…

Opening excerpt from the authors’ abstract. source

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Topics

privacy

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