In this paper we study the trade-offs between time series compressibility and partial information hiding and their fundamental implications on how we should introduce uncertainty ...
Spiros Papadimitriou, Feifei Li, George Kollios, P...
In disclosing micro-data with sensitive attributes, the goal is usually two fold. First, the data utility of disclosed data should be maximized for analysis purposes. Second, the ...
Wireless sensor networks have attracted increasing attentions considering their potentials for being widely adopted in both emerging civil and military applications. A common prac...
cipal high-level goal of the research is to develop abstractions, theory and methodology and software tools that allow federal statistical agencies to disseminate useful informatio...
In this paper, we study the privacy-preserving decision tree building problem on vertically partitioned data. We made two contributions. First, we propose a novel hybrid approach, ...