2020 · Preprint
Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity
Trex learns execution semantics from function micro-traces, then uses that knowledge to match semantically similar binary functions.
Scope and limitations
The evaluation covers 1,472,066 function binaries from 13 software projects, across architectures, compiler optimizations, and obfuscations.
Why it fits this collection
It addresses binary function similarity by learning execution behavior from traces.
Publication and review details
- Venue
- arXiv
- Status
- Preprint
- Publication / posting date
- December 16, 2020
- Date source
- First arXiv submission date.
- First arXiv submission
- December 16, 2020
- arXiv
- 2012.08680
- Reviewed arXiv version
- v3
The date and venue come from the arXiv record.
Sources reviewed
Reviewed against the paper and its primary sources. Cite the original authors using the linked paper or BibTeX.