SecureBERT-NER / README.md
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---
language:
- en
library_name: transformers
pipeline_tag: token-classification
widget:
- text: "Based on an analysis of samples shared with us by Microsoft Threat Intelligence, we developed indicators that enabled us to identify at least five civil society victims of QuaDream’s spyware and exploits in North America, Central Asia, Southeast Asia, Europe, and the Middle East. Victims include journalists, political opposition figures, and an NGO worker. We are not naming the victims at this time."
example_title: "example"
---
# Named Entity Recognition for Cybersecurity
This model has been finetuned with SecureBERT (https://arxiv.org/abs/2204.02685)
on the APTNER dataset (https://ieeexplore.ieee.org/document/9776031)
## NER Classes
<img src="https://s3.amazonaws.com/moonup/production/uploads/6495712986e1286a1de6b241/SFWVgQCsElVC2XphGB7Oh.png" width="500" height="500">