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FIN: Boosting binary code embedding by normalizing function inlinings
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DOI：10.1016/j.jss.2025.112603.png)
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Abstract
En 中文
• Inlined functions impair binary similarity detection effectiveness. • Tool-assisted function inlining normalization boosts BCSD across optimization levels. • Average callee–caller distance is key for choosing optimal manual inlining candidates. • Tool-assisted function inlining normalization improves vulnerability detection.
Keywords:
function inlining
binary similarity detection
vulnerability detection
optimization levels
callee–caller distance
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