Abstract
In this talk, I will discuss our experience building a campus-level privacy preserving smartspace testbed entitled TIPPERS. TIPPERS is an IoT data management middleware that supports a plug-n-play architecture to integrate diverse privacy technologies. It supports differential privacy, policy-based data processing, secure data management, and privacy preferences of users. In this talk, I will describe some of the privacy challenges we have identified in building and deploying TIPPERS at the campus level, and highlight limitations of existing technologies we have observed and research on scaling the technologies from demo to real deployment.