Commit-Level, Neural Vulnerability Detection and Assessment

Author:

Li Yi1,Yadavally Aashish2,Zhang Jiaxing1,Wang Shaohua1,Nguyen Tien N.2

Affiliation:

1. New Jersey Institute of Technology, Newark, USA

2. University of Texas at Dallas, Richardson, USA

Funder

National Science Foundation

National Security Agency

Publisher

ACM

Reference40 articles.

1. [n. d.]. Silhouette (clustering). https://en.wikipedia.org/wiki/Silhouette_(clustering). Last Accessed March 15, 2022 [n. d.]. Silhouette (clustering). https://en.wikipedia.org/wiki/Silhouette_(clustering). Last Accessed March 15, 2022

2. [n. d.]. T-SNE. https://scikit-learn.org/stable/modules/generated/ sklearn.manifold.TSNE.html. Last Accessed March 9, 2022 [n. d.]. T-SNE. https://scikit-learn.org/stable/modules/generated/ sklearn.manifold.TSNE.html. Last Accessed March 9, 2022

3. 2021. Common Vulnerability Scoring System. https://www.first.org/cvss/ 2021. Common Vulnerability Scoring System. https://www.first.org/cvss/

4. 2021. The NNI autoML tool. https://github.com/microsoft/nni 2021. The NNI autoML tool. https://github.com/microsoft/nni

5. 2023. CAT. https://github.com/vulnerability-assessment-cat/vulnerability-assessment-cat 2023. CAT. https://github.com/vulnerability-assessment-cat/vulnerability-assessment-cat

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