Paper 2021/1490
Precio: Private Aggregate Measurement via Oblivious Shuffling
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. Precio has linear (time and communication) complexity in the number of data points and guarantees differentially private outputs. We formally analyze its security and privacy and present a thorough performance evaluation. The protocol supports much larger domains than Prio. It supports much more flexible aggregates than the DPF-based solution and in some settings has up to four orders of magnitude better performance.
Metadata
- Available format(s)
-
PDF
- Category
- Cryptographic protocols
- Publication info
- Published elsewhere. ACM CCS 2024
- Keywords
- secure computingsecure aggregation
- Contact author(s)
-
betuldurak @ microsoft com
ckweng @ u northwestern edu
erikan @ microsoft com
kim laine @ microsoft com
melissac @ microsoft com - History
- 2024-05-22: last of 4 revisions
- 2021-11-15: received
- See all versions
- Short URL
- https://ia.cr/2021/1490
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2021/1490,
author = {F. Betül Durak and Chenkai Weng and Erik Anderson and Kim Laine and Melissa Chase},
title = {Precio: Private Aggregate Measurement via Oblivious Shuffling},
howpublished = {Cryptology {ePrint} Archive, Paper 2021/1490},
year = {2021},
url = {https://eprint.iacr.org/2021/1490}
}
