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Blaine Hoak is a Ph.D. student in the Department of Computer Sciences at the University of Wisconsin-Madison. She works in the MadS&P Laboratory and is advised by Prof. Patrick McDaniel. Her research thus far has focused mainly on adversarial machine learning. Specifically, she is interested in understanding and designing sophisticated attacks that allow us to evaluate the trustworthiness of the machine learning systems we use today. More recently, she has been interested in computational neuroscience and developing biologically plausible models with security in mind.