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Collaborative filtering is a widely-used technique in online services to enhance the accuracy of a recommender system. This technique, however, comes at the cost of users having to reveal their preferences, which has undesirable privacy implications. We propose a collaborative filtering system where the system does not observe the users' data and is still able to provide useful recommendations. Compared...
We present a text-independent privacy-preserving speaker verification system that functions similar to conventional password-based authentication. Our privacy constraints require that the system does not observe the speech input provided by the user, as this can be used by an adversary to impersonate the user in the same system or elsewhere. We represent the speech input using supervectors and apply...
This paper presents RLC equivalent model of power plane for power distribution network (PDN) in high speed VLSI system consisting of package, board, and voltage regulator module. The frequency independent RLC equivalent model can be easily integrated in any SPICE compatible circuit simulator. SPICE simulation results of the proposed RLC models for regular and irregular power-ground plane pair have...
Personalized page rank, related to random walks with restarts and conductance in resistive networks, is a frequent search paradigm for graph-structured databases. While efficient batch algorithms exist for static whole-graph page rank, interactive query-time personalized page rank has proved more challenging. Here we describe how to select and build indices for a popular class of page rank algorithms,...
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