Matches in SemOpenAlex for { <https://semopenalex.org/work/W2984296585> ?p ?o ?g. }
- W2984296585 abstract "A centrally differentially private algorithm maps raw data to differentially private outputs. In contrast, a locally differentially private algorithm may only access data through public interaction with data holders, and this interaction must be a differentially private function of the data. We study the intermediate model of pan-privacy. Unlike a locally private algorithm, a pan-private algorithm receives data in the clear. Unlike a centrally private algorithm, the algorithm receives data one element at a time and must maintain a differentially private internal state while processing this stream. First, we show that pure pan-privacy against multiple intrusions on the internal state is equivalent to sequentially interactive local privacy. Next, we contextualize pan-privacy against a single intrusion by analyzing the sample complexity of uniformity testing over domain $[k]$. Focusing on the dependence on $k$, centrally private uniformity testing has sample complexity $Theta(sqrt{k})$, while noninteractive locally private uniformity testing has sample complexity $Theta(k)$. We show that the sample complexity of pure pan-private uniformity testing is $Theta(k^{2/3})$. By a new $Omega(k)$ lower bound for the sequentially interactive setting, we also separate pan-private from sequentially interactive locally private and multi-intrusion pan-private uniformity testing." @default.
- W2984296585 created "2019-11-22" @default.
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- W2984296585 date "2019-11-04" @default.
- W2984296585 modified "2023-10-16" @default.
- W2984296585 title "Pan-Private Uniformity Testing" @default.
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