Operators of online social networks are increasingly sharing potentially sensitive information about users and their relationships with advertisers, application developers, and da...
We consider the problem of releasing a limited public view of a sensitive graph which reveals at least k edges per node. We are motivated by Facebook’s public search listings, w...
In this paper, we present a new approach to performing important classes of genomic computations (e.g., search for homologous genes) that makes a significant step towards privacy...
Randomization has emerged as a useful technique for data disguising in privacy-preserving data mining. Its privacy properties have been studied in a number of papers. Kargupta et ...
Accurate network measurement through trace collection is critical for advancing network design and for maintaining secure, reliable networks. Unfortunately, the release of network...
Bruno F. Ribeiro, Weifeng Chen, Gerome Miklau, Don...