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Boosting Neural Networks to Decompile Optimized Binaries. (arXiv:2301.00969v1 [cs.LG])
cs.CR updates on arXiv.org arxiv.org
Decompilation aims to transform a low-level program language (LPL) (eg.,
binary file) into its functionally-equivalent high-level program language (HPL)
(e.g., C/C++). It is a core technology in software security, especially in
vulnerability discovery and malware analysis. In recent years, with the
successful application of neural machine translation (NMT) models in natural
language processing (NLP), researchers have tried to build neural decompilers
by borrowing the idea of NMT. They formulate the decompilation process as a
translation problem between LPL and HPL, …
analysis application binary discovery file high language low machine malware malware analysis networks neural networks program security software software security technology vulnerability vulnerability discovery