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With the advancement of deep learning (DL) in various fields, there are many attempts to reveal software vulnerabilities by data-driven approach.
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W. Guo, Y. Fang, C. Huang, H. Ou, C. Lin, Y. Guo, Hyvuldect: A hybrid semantic vulnerability mining system based on graph neural network, Computers & Security (2022) 102823
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Y. Zhu, G. Lin, L. Song, J. Zhang, The application of neural network for software vulnerability detection: a review, Neural Computing and Applications 35 (2) (2023) 1279–1301
2023
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W. Tang, M. Tang, M. Ban, Z. Zhao, M. Feng, Csgvd: A deep learning approach combining sequence and graph embedding for source code vulnerability detection, Journal of Systems and Software 199 (2023) 111623
2023
Closest in time.