Text Classification
Transformers
Safetensors
English
roberta
vulnerability-reporting
usenix-security-2025
github-issues
security-issue-classification
text-embeddings-inference
Instructions to use sifat6412/USENIX25-Security-Issue-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sifat6412/USENIX25-Security-Issue-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sifat6412/USENIX25-Security-Issue-Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sifat6412/USENIX25-Security-Issue-Classifier") model = AutoModelForSequenceClassification.from_pretrained("sifat6412/USENIX25-Security-Issue-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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**Paper:**
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Ghosh, Rajdeep, Shiladitya De, and Mainack Mondal. "" I wasn't sure if this is indeed a security risk": Data-driven Understanding of Security Issue Reporting in {GitHub} Repositories of Open Source npm Packages." 34th USENIX Security Symposium (USENIX Security 25). 2025.
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**BibTeX:**
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```bibtex
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**Paper:**
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Ghosh, Rajdeep, Shiladitya De, and Mainack Mondal. "" I wasn't sure if this is indeed a security risk": Data-driven Understanding of Security Issue Reporting in {GitHub} Repositories of Open Source npm Packages." 34th USENIX Security Symposium (USENIX Security 25). 2025.
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```bibtex
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