… 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 systematically explore the trade-offs between the output …