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BLC: Private Matrix Factorization Recommenders via Automatic Group Learning
Alessandro Checco, Giuseppe Bianchi, Douglas J. Leith
Article No.: 4
We propose a privacy-enhanced matrix factorization recommender that exploits the fact that users can often be grouped together by interest. This allows a form of “hiding in the crowd” privacy. We introduce a novel matrix factorization...
Iterative Analysis to Improve Key Properties of Critical Human-Intensive Processes: An Election Security Example
Leon J. Osterweil, Matt Bishop, Heather M. Conboy, Huong Phan, Borislava I. Simidchieva, George S. Avrunin, Lori A. Clarke, Sean Peisert
Article No.: 5
In this article, we present an approach for systematically improving complex processes, especially those involving human agents, hardware devices, and software systems. We illustrate the utility of this approach by applying it to part of an...
Pulse-Response: Exploring Human Body Impedance for Biometric Recognition
Ivan Martinovic, Kasper B. Rasmussen, Marc Roeschlin, Gene Tsudik
Article No.: 6
Biometric characteristics are often used as a supplementary component in user authentication and identification schemes. Many biometric traits, both physiological and behavioral, offering a wider range of security and stability, have been...