CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description

Mustafizur R. Shahid, Hervé Debar. CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description. In M. Arif Wani, Ishwar K. Sethi, Weisong Shi, Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin, editors, 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021. pages 1600-1607, IEEE, 2021. [doi]

@inproceedings{ShahidD21,
  title = {CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description},
  author = {Mustafizur R. Shahid and Hervé Debar},
  year = {2021},
  doi = {10.1109/ICMLA52953.2021.00256},
  url = {https://doi.org/10.1109/ICMLA52953.2021.00256},
  researchr = {https://researchr.org/publication/ShahidD21},
  cites = {0},
  citedby = {0},
  pages = {1600-1607},
  booktitle = {20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021},
  editor = {M. Arif Wani and Ishwar K. Sethi and Weisong Shi and Guangzhi Qu and Daniela Stan Raicu and Ruoming Jin},
  publisher = {IEEE},
  isbn = {978-1-6654-4337-1},
}