Privacy Preserving Data Mining (PPDM) has become a popular topic in the research community. How to strike a balance between privacy protection and knowledge discovery in the shari...
As the global society becomes more interconnected and more privacy-conscious, communication protocols must balance access control with protecting participants’ privacy. A common ...
Emiliano De Cristofaro, Stanislaw Jarecki, Jihye K...
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Current data sharing and integration among various organizations require a central and trusted authority to collect data from all data sources and then integrate the collected data...
Preservation of privacy in micro-data release is a challenging task in data mining. The k-anonymity method has attracted much attention of researchers. Quasiidentifier is a key co...