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Research questionHow can AI-augmented binary-reversing methods be compared across domains with different representations?Compilation discards semantic information, forcing reversing systems to infer program behavior from incomplete binary artifacts. As research spans many tasks, representations, learning approaches, and evaluation practices, results and limitations are difficult to compare.
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Latest papersRecent research connected to this question, newest first.SoK: AI-Augmented Binary ReversingThe source synthesizes 246 papers published since 2015 into 22 binary-reversing domains and presents a taxonomy connecting analysis techniques, artifacts, representations, learning paradigms, downstream inference tasks, and the roles of LLMs and agentic systems. Its evidence supports mapping the field and identifying evaluation gaps, rather than establishing the deployment performance of a particular system.research paper · Sep 4, 2026
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