Precio: Private Aggregate Measurement via Oblivious Shuffling
Erik Anderson, Melissa Chase, F. Betül Durak, Kim Laine, Chenkai Weng
2024Year
3Citations
5Top-tier citations
Abstract
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.
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Install the CLIlune papers get 4aeb5811-0e73-4499-939b-4e2dde87c7f9Cited by top-tier papers5
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