2 citations · 4 across the 4 of their papers we have counts for
5 papers
CityOS: Privacy Architecture for Urban Sensing
Giorgio Cavicchioli, Mark Chen, Navid Salami Pargoo +5
Cities are rapidly deploying sensing infrastructure -- cameras, environmental sensors, and connected kiosks -- that continuously observe public spaces, yet they lack a system archi…
Big Bird: Resilient Privacy Budgeting Across Untrusted Web Domains
Pierre Tholoniat, Alison Caulfield, Giorgio Cavicchioli +6
The W3C Attribution API is an emerging standard for privacy-preserving advertising measurement. Its current privacy architecture enforces individual differential privacy (IDP) inde…
Cookie Monster: Efficient On-device Budgeting for Differentially-Private Ad-Measurement Systems
Pierre Tholoniat, Kelly Kostopoulou, Peter McNeely +6
With the impending removal of third-party cookies from major browsers and the introduction of new privacy-preserving advertising APIs, the research community has a timely opportuni…
Turbo: Effective Caching in Differentially-Private Databases
Kelly Kostopoulou, Pierre Tholoniat, Asaf Cidon +2
Differentially-private (DP) databases allow for privacy-preserving analytics over sensitive datasets or data streams. In these systems, user privacy is a limited resource that must…
DPack: Efficiency-Oriented Privacy Budget Scheduling
Pierre Tholoniat, Kelly Kostopoulou, Mosharaf Chowdhury +4
Machine learning (ML) models can leak information about users, and differential privacy (DP) provides a rigorous way to bound that leakage under a given budget. This DP budget can…