Might Be Evil

https://mightbeevil.org/ Secure Computation We are developing techniques and tools to enable useful computation to be done while preserving data privacy.

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EvadeML

Evading Machine Learning-based Malware Classifiers EvadeML is an evolutionary framework based on genetic programming for automatically finding variants that evade detection by machine learning-based malware classifiers. https://evademl.org/  

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PhD Proposal Presentation by, Sarah Preum

PhD Proposal Presentation Date: Friday, December 9, 2016 at 10:00AM in Rice 204 Advisor: John A. Stankovic Committee: Alfred Weaver (Committee Chair), Hongning Wang, Kai-Wei Chang and Laura Barnes (Systems and Information Engineering). Towards Personalized Conflict Detection from Heterogeneous Health Applications   ABSTRACT With the rapid advent of digital health care platforms, an increasing number of…

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Ph.D Dissertation Defense Presentation by, Muhammad Yanhaona

PhD Proposal Presentation Date: Friday, December 2, 2016 at 10:00AM in Rice 242 Advisor: Andrew Grimshaw Committee: Kevin Skadron (Committee Chair), Jack Davidson, Westley Weimer and Mircea Stan (Electrical and Computer Engineering). PCubeS Type Architecture and IT Programming Language ABSTRACT: As the rate of improvement of uniprocessors slows, parallel programming has become an issue for…

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Submitted Events -outside of UVA

NYC Data Science Bootcamp In this program students will learn beginner and intermediate levels of Data Science with R, Python & Hadoop as well as the most popular and useful packages like dplyr, scikit-learn, and more. Once the foundation of learning has been set, students work on projects throughout the bootcamp. Along the way, students…

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