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So has there been any success in using deep learning for doing reverse engineering?

i couldn't find anything useful other than some theoretical papers, so was there any talk about this in recent security conferences, or actual success of doing so?

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    Interesting topic. What do you want exactly to reach with deep learning? The disassembly process? Or classification of malware? Recognize obfuscation?
    – pudi
    Commented Oct 8, 2018 at 21:51
  • Are you focused just on deep learning specifically or machine learning methods in RE in general?
    – julian
    Commented Oct 8, 2018 at 23:40
  • @pudi yes, building a "program" with the help of deep learning that can disassemble any given program with a high accuracy rate, has there been any success in this field?
    – John P
    Commented Oct 9, 2018 at 5:49
  • @SYS_V deep learning would be preferable
    – John P
    Commented Oct 9, 2018 at 7:59
  • 6
    Possible duplicate of Can AI be used to write better decompilers/disassemblers?
    – perror
    Commented Oct 9, 2018 at 11:54

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I don't know about deep learning, but if you are looking for general results on using machine learning for reverse engineering, there was a paper called "Evolving Exact Decompilation" published at the Workshop on Binary Analysis Research 2018, where the researchers claimed to have learned/evolved the ability to decompile a C program. See the paper here.

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