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Differentially Private Ad Conversion Measurement
March 25, 2024, 4:11 a.m. | John Delaney, Badih Ghazi, Charlie Harrison, Christina Ilvento, Ravi Kumar, Pasin Manurangsi, Martin Pal, Karthik Prabhakar, Mariana Raykova
cs.CR updates on arXiv.org arxiv.org
Abstract: In this work, we study ad conversion measurement, a central functionality in digital advertising, where an advertiser seeks to estimate advertiser website (or mobile app) conversions attributed to ad impressions that users have interacted with on various publisher websites (or mobile apps). Using differential privacy (DP), a notion that has gained in popularity due to its strong mathematical guarantees, we develop a formal framework for private ad conversion measurement. In particular, we define the notion …
advertising app apps arxiv conversion cs.cr cs.ds differential privacy digital measurement mobile mobile app mobile apps notion privacy private publisher study website websites work
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