Unsupervised Binary Code Translation with Application to Code Similarity Detection and Vulnerability Discovery

arXiv:2404.19025v1 Announce Type: cross
Abstract: Binary code analysis has immense importance in the research domain of software security. Today, software is very often compiled for various Instruction Set Architectures (ISAs). As a result, cross-architecture binary code analysis has become an emerging problem. Recently, deep learning-based binary analysis has shown promising success. It is widely known that training a deep learning model requires a massive amount of data. However, for some low-resource ISAs, an adequate amount of data is hard to …

analysis application architecture architectures arxiv binary binary analysis code code analysis cs.cr cs.se deep learning detection discovery domain emerging isas problem research result security similarity software software security today translation vulnerability vulnerability discovery