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Computer Science > Data Structures and Algorithms

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By Joel Daniel, Monika Henzinger, Anamay Chaturvedi
| arXiv
Differential privacy under Continual Observation (CO) quantifies the loss in privacy that occurs when outputs generated using a stream of sensitive input data are published in the online setting. In this paper, we consider a more stringent notion of privacy compared to prior work wherein an individual's participation may shift the entire stream by a time-step.
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