Privacy-Friendly Cohort Determination: Sealed, CSP-Independent In-Browser ML Inference of Professional Segments for Identity-Less Advertising
cs.CR, cs.LG
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/patcg-individual-drafts/topics
Project page: https://mozilla.github.io/ppa-docs/floc_report
Terminology
Sources
- Evaluating Google's Protected Audience Protocol
- The Rise and Fall of Google's Privacy Sandbox
- Longitudinal Adoption and Deprecation of the Privacy Sandbox Web APIs
- Privacy in Targeted Advertising: A Survey
- Anatomizing Deep Learning Inference in Web Browsers
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