Location data is any data about an individual’s movements, often recorded by personal devices, such as smartphones and wearables. Location data poses a big privacy challenge, as it’s very personally revealing, it’s notoriously hard to anonymize, and it’s vulnerable to linkage attacks.
If you know approximately where someone was at four different points in time, that’s enough to effectively reverse most location data anonymization. Differential privacy can be a useful method for protecting aggregate statistics about location data. We’ve written a blog post about it.
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