Aggregate Measurement via Oblivious Shuffling

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

IACR Cryptol. ePrint Arch.(2021)

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摘要
We introduce a secure histogram aggregates method which is suitable for many applications such as ad conversion measurements. Our solution relies on three-party computation with linear complexity and guarantees differentially private histogram outputs. We formally analyse the security and privacy of our method and compare it with existing proposals. Finally, we conclude our report with a performance analysis.
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