Jan. 14, 2022, 2:10 a.m. | Tatsuki Koga, Casey Meehan, Kamalika Chaudhuri

cs.LG updates on arXiv.org arxiv.org

Aggregate time-series data like traffic flow and site occupancy repeatedly
sample statistics from a population across time. Such data can be profoundly
useful for understanding trends within a given population, but also pose a
significant privacy risk, potentially revealing e.g., who spends time where.
Producing a private version of a time-series satisfying the standard definition
of Differential Privacy (DP) is challenging due to the large influence a single
participant can have on the sequence: if an individual can contribute to …

arxiv privacy time

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