Big Bird: Resilient Privacy Budgeting Across Untrusted Web Domains
Pierre Tholoniat, Alison Caulfield, Giorgio Cavicchioli, Mark Chen, Benjamin Case, Asaf Cidon, Roxana Geambasu, Mathias L\'ecuyer, Martin Thomson

TL;DR
Big Bird introduces a global privacy-budget management system for web advertising measurement that ensures sound differential privacy guarantees across multiple untrusted domains, addressing Sybil attacks and preserving utility.
Contribution
It proposes Big Bird, a novel privacy-budget manager enforcing global device-epoch IDP, resilient to depletion attacks and compatible with real-world ad-tech systems.
Findings
Big Bird provides rigorous global device-epoch IDP guarantees.
It demonstrates resilience to Sybil depletion attacks.
Empirical evaluation shows maintained utility under attack.
Abstract
The W3C Attribution API is an emerging standard for privacy-preserving advertising measurement. Its current privacy architecture enforces individual differential privacy (IDP) independently for each domain (e.g., an advertiser) issuing queries. We show that this guarantee is unsound under realistic system behavior: it fails under cross-querier data adaptivity and can also fail when shared limits are enforced across queriers. The issue is not the on-device accounting model itself -- device-epoch IDP -- but treating each querying domain in isolation. We propose Big Bird, a privacy-budget manager that makes global device-epoch IDP -- enforced jointly across all domains -- both sound and deployable for Attribution. Big Bird addresses the main obstacle to global enforcement in open multi-querier systems: denial-of-service depletion of a shared global budget by Sybil web domains. Its key…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
