June 19, 2023, 1:10 a.m. | Nitin Kohli, Emily Aiken, Joshua Blumenstock

cs.CR updates on arXiv.org arxiv.org

Personal mobility data from mobile phones and other sensors are increasingly
used to inform policymaking during pandemics, natural disasters, and other
humanitarian crises. However, even aggregated mobility traces can reveal
private information about individual movements to potentially malicious actors.
This paper develops and tests an approach for releasing private mobility data,
which provides formal guarantees over the privacy of the underlying subjects.
Specifically, we (1) introduce an algorithm for constructing differentially
private mobility matrices, and derive privacy and accuracy bounds …

data humanitarian information malicious malicious actors mobile mobile phones mobility personal phones privacy private response sensors tests traces

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