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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).In an analogous fashion, we demonstrate an AI agent that has learned through thousands of "games" against a next-gen AV malware detector which sequence of functionality-preserving changes to perform on a Windows PE malware file so that it bypasses the detector.

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Raggo Siegfried Rasthofer Inbar Raz Redezem Sam Richards Roamer Andy Robbins David "Karit" Robinson Joe Rozner Gabriel "solstice" Ryan S 5A1F Morten Schenk Michael Schrenk Tess Schrodinger Will Schroeder Dr.The rise of Free and Open Source Software has led to more secure and heavily scrutinized cryptographic solutions.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.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.

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