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Privacy Amplification by Subsampling in Time Domain. (arXiv:2201.04762v1 [cs.CR])
Jan. 14, 2022, 2:20 a.m. | Tatsuki Koga, Casey Meehan, Kamalika Chaudhuri
cs.CR 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 …
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