The proliferation of network data in various application domains has raised privacy concerns for the individuals involved. Recent studies show that simply removing the identities ...
Recently, as more and more social network data has been published in one way or another, preserving privacy in publishing social network data becomes an important concern. With som...
Abstract—Data sanitization has been used to restrict reidentification of individuals and disclosure of sensitive information from published data. We propose an attack on the pri...
Species distribution prediction modeling plays a key role in biodiversity research. We propose to publish both species distribution data and modeling components as Web services and...
Jianting Zhang, Deana Pennington, William Michener
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
Patrick Sharkey, Hongwei Tian, Weining Zhang, Shou...