Recent research studied the problem of publishing microdata without revealing sensitive information, leading to the privacy preserving paradigms of k-anonymity and -diversity. k-a...
Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, ...
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...
Most previous work on the recently developed languagemodeling approach to information retrieval focuses on document-specific characteristics, and therefore does not take into acc...
Type systems for secure information flow aim to prevent a program from leaking information from variables classified as H to variables classified as L. In this work we extend such...
This paper investigates the problem of secure lossy source coding in the presence of an eavesdropper with arbitrary correlated side informations at the legitimate decoder (referre...