Sajal Halder, Muhammad Ejaz Ahmed, Seyit Camtepe. FuncVul: An Effective Function Level Vulnerability Detection Model Using LLM and Code Chunk. In Vincent Nicomette, Abdelmalek Benzekri, Nora Boulahia-Cuppens, Jaideep Vaidya, editors, Computer Security - ESORICS 2025 - 30th European Symposium on Research in Computer Security, Toulouse, France, September 22-24, 2025, Proceedings, Part I. Volume 16053 of Lecture Notes in Computer Science, pages 166-185, Springer, 2025. [doi]
@inproceedings{HalderAC25,
title = {FuncVul: An Effective Function Level Vulnerability Detection Model Using LLM and Code Chunk},
author = {Sajal Halder and Muhammad Ejaz Ahmed and Seyit Camtepe},
year = {2025},
doi = {10.1007/978-3-032-07884-1_9},
url = {https://doi.org/10.1007/978-3-032-07884-1_9},
researchr = {https://researchr.org/publication/HalderAC25},
cites = {0},
citedby = {0},
pages = {166-185},
booktitle = {Computer Security - ESORICS 2025 - 30th European Symposium on Research in Computer Security, Toulouse, France, September 22-24, 2025, Proceedings, Part I},
editor = {Vincent Nicomette and Abdelmalek Benzekri and Nora Boulahia-Cuppens and Jaideep Vaidya},
volume = {16053},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-032-07884-1},
}