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Found 2 papers, 1 papers with code
Revisiting Deep Learning for Variable Type Recovery
Unfortunately, the lack of semantic information like variable types makes comprehending binaries difficult.
Pre-Training Representations of Binary Code Using Contrastive Learning
To the best of our knowledge, COMBO is the first language representation model that incorporates source code, binary code, and comments into contrastive code representation learning and unifies multiple tasks for binary code analysis.
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