Large Language Model for Vulnerability Detection: Emerging Results and Future Directions-Reference-Cited by-同舟云学术

Large Language Model for Vulnerability Detection: Emerging Results and Future Directions

Published:2024-04-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results
language:
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Author:

Zhou Xin¹^ORCID,Zhang Ting¹^ORCID,Lo David¹^ORCID

Affiliation:

1. School of Computing and Information Systems, Singapore Management University, Singapore, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3639476.3639762

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3. VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection

4. Michael Fu and Chakkrit Tantithamthavorn. Linevul: a transformer-based line-level vulnerability prediction. In Proceedings of the 19th International Conference on Mining Software Repositories, pages 608--620, 2022.

5. Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, and Dinh Phung. Regvd: Revisiting graph neural networks for vulnerability detection. In Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings, pages 178--182, 2022.

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