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dewolf: Improving Decompilation by leveraging User Surveys. (arXiv:2205.06719v1 [cs.CR])
May 16, 2022, 1:20 a.m. | Steffen Enders, Eva-Maria C. Behner, Niklas Bergmann, Mariia Rybalka, Elmar Padilla, Er Xue Hui, Henry Low, Nicholas Sim
cs.CR updates on arXiv.org arxiv.org
Analyzing third-party software such as malware or firmware is a crucial task
for security analysts. Although various approaches for automatic analysis exist
and are the subject of ongoing research, analysts often have to resort to
manual static analysis to get a deep understanding of a given binary sample.
Since the source code of encountered samples is rarely available, analysts
regularly employ decompilers for easier and faster comprehension than analyzing
a binary's disassembly.
In this paper, we introduce our decompilation approach …
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