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15.01.
You are invited to join the presentation
Time&Date: Tuesday Jan. 15th, 2019, 3:30 pm
Location: ScaDS Meetingroom, Ritterstrasse 9-13, 04109 Leipzig
Speaker: Dr. Martin Beck, TU Dresden
Title: PrivApprox: Privacy-Preserving Stream Analytics
Abstract:
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 accuracy (with error estimation) and the query execution budget; (iii) Latency: near real-time stream processing based on a scalable “synchronization-free” distributed architecture.
The key idea behind our approach is to marry two techniques together, namely, sampling (used for approximate computation) and randomized response (used for privacy-preserving analytics). The resulting marriage is complementary—it achieves stronger privacy guarantees, and also improves the performance for stream analytics.
