Most previous research on privacy-preserving data publishing, based on the k-anonymity model, has followed the simplistic approach of homogeneously giving the same generalized val...
Wai Kit Wong, Nikos Mamoulis, David Wai-Lok Cheung
We show by means of several examples that robust statistical estimators present an excellent starting point for differentially private estimators. Our algorithms use a new paradig...
In the area of privacy-preserving data mining, a differentially private mechanism intuitively encourages people to share their data truthfully because they are at little risk of ...
In this paper, we explore a new paradigm for data management in which a third party service provider hosts "database as a service" providing its customers seamless mecha...
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...