Your instructions are not always helpful: Assessing the efficacy of instruction fine-tuning for software vulnerability detection
INB Yusuf, L Jiang - arXiv preprint arXiv:2401.07466, 2024 - arxiv.org
Software, while beneficial, poses potential cybersecurity risks due to inherent vulnerabilities.
Detecting these vulnerabilities is crucial, and deep learning has shown promise as an …
Detecting these vulnerabilities is crucial, and deep learning has shown promise as an …
FINDGATE: Fine-grained Defect Prediction Based on a Heterogeneous Discrete Code Graph-guided Attention Transformer
J Xu, P Chen, B Yin, Z Huang… - 2023 IEEE 23rd …, 2023 - ieeexplore.ieee.org
Recognizing defects in source code through deep learning methods has become an
important research subject for improving software quality. Although Transformer-based …
important research subject for improving software quality. Although Transformer-based …