It is cost-effective for data owners to publicize their spatial databases via database outsourcing; however, data privacy and query integrity are major challenges. In this demonst...
Chih-Jye Wang, Wei-Shinn Ku, Ling Hu, Cyrus Shahab...
We propose PASTE, the first differentially private aggregation algorithms for distributed time-series data that offer good practical utility without any trusted server. PASTE add...
Abstract. Many applications benefit from user location data, but location data raises privacy concerns. Anonymization can protect privacy, but identities can sometimes be inferred...
Overlay networks have been very useful in solving large scale data dissemination problems. In this paper, we consider the case of data gathering which is the inverse of disseminat...
This work investigates the accuracy and efficiency tradeoffs between centralized and collective (distributed) algorithms for (i) sampling, and (ii) n-way data analysis techniques i...