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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.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).Saturday at in Track 4 20 minutes | Demo Much of next-gen AV relies on machine learning to generalize to never-before-seen malware.Less well appreciated, however, is that machine learning can be susceptible to attack by, ironically, other machine learning models.

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