Downloads · 30 days
80
48% of all-time downloads
kor-prompt-injection-detection
KLUE_roBERTa_based_model
kor-prompt-injection-detection/KLUE_roBERTa_based_model
KLUE_roBERTa_based_model is a text classification model from kor-prompt-injection-detection. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
This repository contains a fine-tuned KLUE RoBERTa based text classification model for Korean prompt injection detection.
All-time downloads
166
Public
Parameters
111M
443 MB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors443 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jun 26, 2026
- Updated
- Jun 26, 2026
- SHA
- 788922d0
Base models
Model card
From the Hugging Face model README
KLUE RoBERTa Based Prompt Injection Detection Model
This repository contains a fine-tuned KLUE RoBERTa based text classification model for Korean prompt injection detection.
Intended Use
This model was developed for a university text mining project. It is intended for academic evaluation and research on Korean prompt injection detection.
The model classifies Korean text into two categories:
normalattack
Evaluation
| Metric | Value |
|---|---|
| Accuracy | 0.9870 |
| Attack Precision | 0.9752 |
| Attack Recall | 0.9882 |
| Attack F1 | 0.9816 |
| Macro F1 | 0.9858 |
| Weighted F1 | 0.9870 |
Detailed evaluation files:
classification_report.txtsummary.csv
Project Repository
https://github.com/3recon/prompt-injection-detection
Limitations
This model is a research artifact for prompt injection detection. It should not be used as a standalone production security system without additional validation.
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Languages
- ko
- Created
- Jun 26, 2026
- Updated
- Jun 26, 2026