VulBERTa: simplified source code pre-training for vulnerability detection
This paper presents VulBERTa, a deep learning approach to detect security vulnerabilities in source code. Our approach pre-trains a RoBERTa model with a custom tokenisation pipeline on real-world code from open-source C/C++ projects. The model learns a deep knowledge representation of the code synta...
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Main Authors: | Hanif, Hazim, Maffeis, Sergio |
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Format: | Conference or Workshop Item |
Published: |
IEEE
2022
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Subjects: | |
Online Access: | http://eprints.um.edu.my/40469/ |
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