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Posted by / 07-Nov-2017 08:50

Con games 2001 online dating

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.Embedded technologies like Intel Management Engine pose significant threats when, not if, they get exploited.Advanced attackers in possession of firmware signing keys, and even potential access to chip fabrication, could wreak untold havoc on cryptographic devices we rely on.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.

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.A gap that makes little sense since z/OS has been around for a while and is used by most major companies to perform critical business operations: wire transfer, claim refunds, bookings, etc.If you want to test some of the tools showcased during the talk, you can check out his tools: https://github.com/ayoul3/ @ayoul3__ Sunday at in Track 3 20 minutes | Demo, Tool Windows' BITS service is a middleman for your download jobs.Ayoul3 Ayoub is a pentester working for Wavestone, a consulting firm based in France.He got interested in Mainframe security in 2014 when, during an audit, he noticed the big security gap between this platform and standard systems like Windows and Unix.

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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).

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