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• W3172910060 abstract "In this paper, we consider privacy-preserving update strategies for secure outsourced growing databases. Such databases allow appendonly data updates on the outsourced data structure while analysis is ongoing. Despite a plethora of solutions to securely outsource database computation, existing techniques do not consider the information that can be leaked via update patterns. To address this problem, we design a novel secure outsourced database framework for growing data, DP-Sync, which interoperate with a large class of existing encrypted databases and supports efficient updates while providing differentially-private guarantees for any single update. We demonstrate DP-Sync's practical feasibility in terms of performance and accuracy with extensive empirical evaluations on real world datasets." @default.
• W3172910060 created "2021-06-22" @default.
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• W3172910060 date "2021-06-09" @default.
• W3172910060 modified "2023-10-18" @default.
• W3172910060 title "DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy" @default.
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• W3172910060 doi "https://doi.org/10.1145/3448016.3457306" @default.
• W3172910060 hasPublicationYear "2021" @default.
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