—The privacy of communicating entities in wireless ad hoc networks is extremely important due to the potential of their being identified and subsequently subjected to attacks (e...
We have developed techniques to automatically infer mother's maiden names from public records. We demonstrate our techniques using publicly available records from the state o...
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents; and existing models apply likelihoodbased...
In this work we describe a sequence compression method based on combining a Bayesian nonparametric sequence model with entropy encoding. The model, a hierarchy of Pitman-Yor proce...
Random data perturbation (RDP) has been in use for several years in statistical databases and public surveys as a means of providing privacy to individuals while collecting informa...