CCS2024

Precio: Private Aggregate Measurement via Oblivious Shuffling

Erik Anderson, Melissa Chase, F. Betül Durak, Kim Laine, Chenkai Weng

被引用 3 次

摘要

We introduce Precio, a new secure aggregation method for computing layered histograms and sums over secret shared data in a client-server setting. Precio is motivated by ad conversion measurement scenarios, where online advertisers and ad networks want to measure the performance of ad campaigns without requiring privacy-invasive techniques, such as third-party cookies.