In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
We present in this paper a procedure to automatically discover a user s personal topics by clustering their emails. Unlike previous work, we automatically label topics using appro...
We present an early vision of a cyber-physical environment in which computer controlled rendering of physical surfaces, terrains, and environments is achieved by manipulating grid...
In this paper, we present a framework for achieving anonymity and trust, two seemingly contradictory properties, in distributed systems. Our approach builds on webs of trust, a we...
Michael Backes, Stefan Lorenz, Matteo Maffei, Kim ...
With mobile computing and powerful laptops, databases with sensitive data can be physically retrieved by malicious users who can employ techniques that were not previously thought...