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PrivApprox: Privacy-Preserving Stream Analytics
2019
Informatik-Spektrum
How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three important properties: (i) Privacy: zero-knowledge privacy guarantee for users, a privacy bound tighter than the state-of-the-art differential privacy; (ii) Utility: an interface for data analysts to
doi:10.1007/s00287-019-01206-w
fatcat:wbkchsfgxjdttemtujeahsghky