Interesting Snippets from 2019-09-13

• Evading Machine Learning Malware Classifiers - Towards Data Science

  In this post, I’m going to detail the techniques I used to win the Machine Learning Static Evasion Competition announced at this year’s DEFCON AI Village. The goal of the competition was to get 50 malicious Windows Portable Executable (PE) files to evade detection by three machine learning malware classifiers. Not only did the files need to evade detection, but they also had to maintain their exact original functionality and behavior.

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