Home > Uncategorized > Weekly QuEST Discussion Topics and News, 27 Feb

Weekly QuEST Discussion Topics and News, 27 Feb

QuEST 27 Feb 2015

This week it is our honor to have Prof George Cybenko from Dartmouth leading a discussion on his work related to the topic we have been discussing for the last several weeks – deep learning.

Deep Learning of Behaviors for Security

Abstract:  Deep learning has generated much research and commercialization interest recently. In a way, it is the third incarnation of neural networks as pattern classifiers, using insightful algorithms and architectures that act as unsupervised auto-encoders which learn hierarchies of features in a dataset. After a short review of that work, we will discuss computational approaches for deep learning of behaviors as opposed to just static patterns. Our approach is based on structured non-negative matrix factorizations of matrices that encode observation frequencies of behaviors. Example security applications and covert channel detection and coding will be presented.

If time allows I’ve also asked our colleague Ox to present an quick overview of a math formalism that might be applicable for our need for measuring similarity and potentially inferring content (inference) in our instantiations of qualia in our QuEST agents.

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