Preserving individual privacy when publishing data is a problem that is receiving increasing attention. According to the k-anonymity principle, each release of data must be such th...
Serious concerns on privacy protection in social networks have been raised in recent years; however, research in this area is still in its infancy. The problem is challenging due ...
This paper deals with a new type of privacy threat, called "corruption", in anonymized data publication. Specifically, an adversary is said to have corrupted some individ...
Data sharing on public servers has become a popular service on the Internet, in which users can store and share data with other users through public servers. However, because the ...
We propose a novel privacy-preserving nonlinear support vector machine (SVM) classifier for a data matrix A whose columns represent input space features and whose individual rows ...