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Presentations Our work in our own words

August 8, 2018July 23, 2020

Measuring the Speed of the Red Queen’s Race; Adaption and Evasion in Malware

Security is a constant cat-and-mouse game between those trying to keep abreast of and detect novel malware, and the authors […]

Richard Harang
Felipe Ducau
August 7, 2018July 23, 2020

An Introduction to Machine Learning and Deep Learning

Machine learning is the science of developing programs that can automatically learn from data. First, this talk will give some […]

Hillary Sanders
July 26, 2017July 23, 2020

Garbage In, Garbage Out: How Purportedly Great Machine Learning Models can be Screwed Up by Bad Data

As processing power and deep learning techniques have improved, deep learning has become a powerful tool to detect and classify […]

Hillary Sanders
July 23, 2017July 23, 2020

Getting Insight Out Of and Back Into Deep Neural Networks

Deep learning has emerged as a powerful tool for classifying malicious software artifacts, however the generic black-box nature of these […]

Richard Harang
November 22, 2016July 23, 2020

An AI Approach to Malware Similarity Analysis: Mapping the Malware Genome With a Deep Neural Network

Konstantin Berlin
August 1, 2015June 22, 2020

Graphic Content Ahead: Towards Automated Scalable Analysis of Graphical Images Embedded In Malware

Alex Long

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