CookieMonster

efficiently manages privacy on-device for private advertising APIs

As major browsers phase out third-party cookies, emerging advertising APIs offer an opportunity to improve web privacy. Cookie Monster enhances existing advertising measurement APIs from major tech companies with more efficient differential privacy (DP) budgeting. By using an individual form of DP, our approach enables more accurate private measurement queries, with additional benefits in terms of user transparency and control. We prototyped Cookie Monster in Chrome, and our design has been incorporated into Mozilla’s draft for standardization at the W3C Private Advertising Technology Working Group.

References

2024

  1. Cookie Monster: Efficient On-Device Budgeting for Differentially-Private Ad-Measurement Systems
    Pierre Tholoniat, Kelly Kostopoulou, Peter McNeely, Prabhpreet Singh Sodhi, Anirudh Varanasi, Benjamin Case, Asaf Cidon, Roxana Geambasu, and Mathias Lécuyer
    In Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles, 2024