CyBERT: Cybersecurity Claim Classification by Fine-Tuning the BERT Language Model
We introduce CyBERT, a cybersecurity feature claims classifier based on bidirectional encoder representations from transformers and a key component in our semi-automated cybersecurity vetting for industrial control systems (ICS). To train CyBERT, we created a corpus of labeled sequences from ICS dev...
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| Hoofdauteurs: | , , , , |
|---|---|
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI AG
2021-11-01
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| Reeks: | Journal of Cybersecurity and Privacy |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2624-800X/1/4/31 |
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