Big Bird: Privacy Budget Management for W3C's Privacy-Preserving Attribution API
Big Bird: Privacy Budget Management for W3C's Privacy-Preserving Attribution API
Privacy-preserving advertising APIs like Privacy-Preserving Attribution (PPA) are designed to enhance web privacy while enabling effective ad measurement. PPA offers an alternative to cross-site tracking with encrypted reports governed by differential privacy (DP), but current designs lack a principled approach to privacy budget management, creating uncertainty around critical design decisions. We present Big Bird, a privacy budget manager for PPA that clarifies per-site budget semantics and introduces a global budgeting system grounded in resource isolation principles. Big Bird enforces utility-preserving limits via quota budgets and improves global budget utilization through a novel batched scheduling algorithm. Together, these mechanisms establish a robust foundation for enforcing privacy protections in adversarial environments. We implement Big Bird in Firefox and evaluate it on real-world ad data, demonstrating its resilience and effectiveness.
Pierre Tholoniat、Alison Caulfield、Giorgio Cavicchioli、Mark Chen、Nikos Goutzoulias、Benjamin Case、Asaf Cidon、Roxana Geambasu、Mathias Lécuyer、Martin Thomson
计算技术、计算机技术
Pierre Tholoniat,Alison Caulfield,Giorgio Cavicchioli,Mark Chen,Nikos Goutzoulias,Benjamin Case,Asaf Cidon,Roxana Geambasu,Mathias Lécuyer,Martin Thomson.Big Bird: Privacy Budget Management for W3C's Privacy-Preserving Attribution API[EB/OL].(2025-06-05)[2025-06-30].https://arxiv.org/abs/2506.05290.点此复制
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