Comparing the Performance of Different Code Representations for Learning-based Vulnerability Detection

Author:

Zhang Yuting1ORCID,Zhu Jiahao1ORCID,Yang Yixin1ORCID,Wen Ming1ORCID,Jin Hai1ORCID

Affiliation:

1. Huazhong University of Science and Technology, China

Funder

National Natural Science Foundation of China

the Young Elite Scientists Sponsorship Program by CAST

Publisher

ACM

Reference51 articles.

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3. 2021. "MWW". https://en.wikipedia.org/wiki/Mann/T1/textendash_Whitney_U_test. 2021. "MWW". https://en.wikipedia.org/wiki/Mann/T1/textendash_Whitney_U_test.

4. 2021. "NVD". https://nvd.nist.gov/. 2021. "NVD". https://nvd.nist.gov/.

5. 2021. "Software assurance reference dataset". https://samate.nist.gov/SRD/index.php. 2021. "Software assurance reference dataset". https://samate.nist.gov/SRD/index.php.

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1. Enhancing Deep Learning Vulnerability Detection through Imbalance Loss Functions: An Empirical Study;Proceedings of the 15th Asia-Pacific Symposium on Internetware;2024-07-24

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