Practical Binary Code Similarity Detection with BERT-based Transferable Similarity Learning

Author:

Ahn Sunwoo1ORCID,Ahn Seonggwan1ORCID,Koo Hyungjoon2ORCID,Paek Yunheung1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Seoul National University, Korea, South – Republic of Korea and Inter-university Semiconductor Research Center, Seoul National University, Republic of Korea

2. Department of Computer Science and Engineering, Sungkyunkwan University, Korea, South – Republic of Korea

Publisher

ACM

Reference101 articles.

1. Aisha Ali-Gombe , Irfan Ahmed , and Golden G .  Richard III. 2015. OpSeq: Android Malware Fingerprinting . In Proceedings of the 5th Program Protection and Reverse Engineering Workshop (PPREW) . Los Angeles, CA. Aisha Ali-Gombe, Irfan Ahmed, and Golden G. Richard III. 2015. OpSeq: Android Malware Fingerprinting. In Proceedings of the 5th Program Protection and Reverse Engineering Workshop (PPREW). Los Angeles, CA.

2. Angr. 2016. Python Framework for Analyzing Binaries. https://angr.io/. Angr. 2016. Python Framework for Analyzing Binaries. https://angr.io/.

3. BinSlayer

4. Tom Brosch and Maik Morgenstern . 2006 . Runtime Packers: The Hidden Problem. In Black Hat USA Briefings (Black Hat USA). Las Vegas, NV . Tom Brosch and Maik Morgenstern. 2006. Runtime Packers: The Hidden Problem. In Black Hat USA Briefings (Black Hat USA). Las Vegas, NV.

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2. CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

3. CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

4. CRABS-former: CRoss-Architecture Binary Code Similarity Detection based on Transformer;Proceedings of the 15th Asia-Pacific Symposium on Internetware;2024-07-24

5. FGF-Bert: A modified Bert-based approach with a fine-grained feature fusion strategy for Binary Code Similarity Detection;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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