Skip to content

[Paper Contribution]: GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning #11

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
ananyasaha173 opened this issue Sep 21, 2024 · 0 comments
Assignees

Comments

@ananyasaha173
Copy link

BibTex entry

@Article{Lu2024,
author = {Lu, Guilong and Ju, Xiaolin and Chen, Xiang and Pei, Wenlong and Cai, Zhilong},
title = {GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning},
year = {2024},
journal = {Journal of Systems and Software},
volume = {212},
doi = {10.1016/j.jss.2024.112031},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188809248&doi=10.1016%2fj.jss.2024.112031&partnerID=40&md5=0cb5ea51fcad90e53989e5f5cd1cf25f},
type = {Article},
publication_stage = {Final},
source = {Scopus},
note = {Cited by: 1}
}

Artifacts

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188809248&doi=10.1016%2fj.jss.2024.112031&partnerID=40&md5=0cb5ea51fcad90e53989e5f5cd1cf25f

Tasks

Vulnerability Detection

Models

Devign
Reveal
Big-Vul

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

2 participants