Research interests include adversarial machine learning, deep learning, large-scale malware classification, active learning, and early time-series classification.
In this talk, we demonstrate an AI agent trained through reinforcement learning to modify malware to evade machine learning malware detection.
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After surveying all-too-possible low level attacks on critical systems, we will introduce an alternative open source solution to peace-of-mind cryptography and private computing.
By using programmable logic chips, called Field Programmable Gate Arrays, this device is more open source than any common personal computing system to date.