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Please visit https://capture.udel.edu/channel/Data+Science+Community+Hour for recordings of previous events (must be logged in).

Introduction to Adversarial Machine Learning

Michael De Lucia

Computer Scientist, U.S. Army’s Applied Research Laboratory (ARL), Aberdeen Proving Ground, MD

Time: March 18, 2021 @ 4:30 PM to 5:30 PM
Location: Zoom

This is week two of a two part topic on Anaconda.

Firstly, we will give an interactive tutorial on installing the popular Anaconda data science platform on your PC or Mac. Then we’ll run some initial machine learning tests and a few simple programs. (As Anaconda load times can be 30–40 minutes, please visit this site http://www.udel.edu/008153 before the presentation to find some pre-work you can do to be ready to participate in the hands-on activities.)

Secondly, we will introduce the concept of adversarial machine learning, a technique where carefully constructed or perturbed data instances, observations, or training data can be used to cause a machine learning model, such as an image classifier, to make widely inaccurate predictions.

 

Michael De Lucia (Ph.D. ECE, UD, ’20; MS & BS CS, NJIT, ‘05/’06, CSSA) is a Computer Scientist at the U.S. Army’s Applied Research Laboratory (ARL), Aberdeen Proving Ground, MD, where he researches computer and network security, and machine learning for network security applications.
Dr. De Lucia is Adjunct Professor in ECE at UD, and was an NJIT Adjunct Instructor 2006-2011.

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