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In privacy-enhancing computation, differential privacy under continual observation refers to differential privacy for statistics updated as a data stream arrives, protecting each event across all released outputs over time. This meaning comes from Dwork (2010) in Proceedings of the forty-second ACM symposium on Theory of computing.[1]
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