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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.Prior to joining Endgame he conducted information security and situational awareness research as a researcher at Fire Eye, Mandiant, Sandia National Laboratories and MIT Lincoln Laboratory.Street Suggy Matt Suiche T TBA Evan Teitelman Richard Thieme Chris Thompson trixr4skids Orange Tsai Jeff "r3plicant" Tully MD Philip Tully V Ilja van Sprundel [email protected] W Kit Walsh Patrick Wardle (1, 2) Waz Wiseacre Matt Wixey Beau Woods X Xlogic X Y Luke Young Jian Yuan Zhang Yunhai Z Zardus Sarah Zatko Zenofex zerosum0x0 Min (Spark) Zheng Sunday at in Track 4 20 minutes | Demo, Tool Modern computing platforms offer more freedom than ever before.The rise of Free and Open Source Software has led to more secure and heavily scrutinized cryptographic solutions.Holding no official training or technical employment, 0ctane spends most of their free time building and restoring older computer systems, hanging out at surplus stores and tracking down X86 alternatives with an occasional dabbling in OSX and 802.11 exploitation.Other interests include SDR and RF exploration, networking, cryptography, computer history, distributed computing...really anything that sounds cool that I happen to stumble on at 3am.Our Word of the Year choice serves as a symbol of each year’s most meaningful events and lookup trends.It is an opportunity for us to reflect on the language and ideas that represented each year.

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No blobs, no hidden firmware features, and no secret closed source processors.In this talk, we demonstrate an AI agent trained through reinforcement learning to modify malware to evade machine learning malware detection.Reinforcement learning has produced game-changing AI's that top human level performance in the game of Go and a myriad of hacked retro Atari games (e.g., Pong).However, below the surface of open source operating systems, strictly closed source firmware along with device driver blobs and closed system architecture prevent users from examining, understanding, and trusting the systems where they run their private computations.Embedded technologies like Intel Management Engine pose significant threats when, not if, they get exploited.

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