Automation of Vulnerability Information Extraction Using Transformer-Based Language Models-Reference-Cited by-同舟云学术

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Automation of Vulnerability Information Extraction Using Transformer-Based Language Models

Published:2023 Issue: Volume: Page:645-665
ISSN:0302-9743
Container-title:Computer Security. ESORICS 2022 International Workshops
language:
Short-container-title:

Author:

Hashemi Chaleshtori Fateme^ORCID,Ray Indrakshi^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-25460-4_37

Reference46 articles.

1. Adobe security bulletins and advisories. https://helpx.adobe.com/security/security-bulletin.html Accessed 26 July 2021

2. Cve database. https://cve.mitre.org Accessed 26 July 2021

3. Microsoft security bulletins. https://docs.microsoft.com/en-us/security-updates/securitybulletins/securitybulletins, Accessed 26 July 2021

4. Neuroner: A named-entity recognition program based on neural networks and easy to use. http://neuroner.com Accessed 4 Aor 2022

5. spaCy entityrecognizer. https://spacy.io/api/entityrecognizer. Accessed 6 Apr 2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. LLM-based Vulnerability Sourcing from Unstructured Data;2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2024-07-08

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