Cross-Language Binary-Source Code Matching with Intermediate Representations

Author:

Gui Yi1,Wan Yao1,Zhang Hongyu2,Huang Huifang3,Sui Yulei4,Xu Guandong4,Shao Zhiyuan1,Jin Hai1

Affiliation:

1. School of Computer Science and Technology, Huazhong University of Science and Technology,National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab,Wuhan,China

2. The University of Newcastle,Australia

3. School of Mathematics and Statistics, Huazhong University of Science and Technology,Wuhan,China

4. School of Computer Science, University of Technology Sydney,Australia

Funder

National Natural Science Foundation of China

Publisher

IEEE

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An empirical study on divergence of differently-sourced LLVM IRs;Journal of Computer Languages;2024-11

2. Automating the correctness assessment of AI-generated code for security contexts;Journal of Systems and Software;2024-10

3. Are We There Yet? Filling the Gap Between Binary Similarity Analysis and Binary Software Composition Analysis;2024 IEEE 9th European Symposium on Security and Privacy (EuroS&P);2024-07-08

4. Leveraging Intermediate Languages: Current Applications;2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC);2024-06-11

5. GraphBinMatch: Graph-Based Similarity Learning for Cross-Language Binary and Source Code Matching;2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2024-05-27

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