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No math or machine learning background is required; fundamental understanding of malware and Windows PE files is a welcome; and previous experience hacking Atari Pong is a plus.

Hyrum Anderson Hyrum Anderson is technical director of data scientist at Endgame, where he leads research on detecting adversaries and their tools using machine learning.

Less well appreciated, however, is that machine learning can be susceptible to attack by, ironically, other machine learning models.

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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He received his Ph D in Electrical Engineering (signal and image processing machine learning) from the University of Washington and BS/MS degrees from Brigham Young University.Sean Kanuck (1, 2) Konstantinos Karagiannis Garry Kasparov Matt Knight William Knowles Artem Kondratenko Itzik Kotler Amit Klein L Logan Lamb Rep.James Langevin (1, 2) David Latimer Michael Leibowitz Nick Leiserson Yves Le Provost Jun Li Xiangyu Liu M Jerod Mac Donald-Evoy Andrew Mac Pherson Caleb Madrigal Dhia Mahjoub Slava Makkaveev Major Malfunction Dennis Maldonado Malware Unicorn Manfred (@_EBFE) Thomas Mathew Andrea Matwyshyn Vasilios Mavroudis Maximus64 Michael C.Research interests include adversarial machine learning, deep learning, large-scale malware classification, active learning, and early time-series classification.Saturday at in 101 Track 45 minutes | Demo, Tool Follow me on a journey where we p0wn one of the most secure platforms on earth.

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