SepBIN: Binary Feature Separation for Better Semantic Comparison and Authorship Verification
Author:
Affiliation:
1. Zhongguancun Laboratory, Beijing, China
2. Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
3. China Assets Cybersecurity Technology Company Ltd., Beijing, China
4. CNCERT/CC, Beijing, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/10206/10319981/10314554.pdf?arnumber=10314554
Reference60 articles.
1. A Survey of Binary Code Similarity
2. How machine learning is solving the binary function similarity problem;Marcelli
3. De-anonymizing programmers via code stylometry;Islam
4. BinMLM: Binary Authorship Verification with Flow-aware Mixture-of-Shared Language Model
5. αDiff: cross-version binary code similarity detection with DNN
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