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kor-prompt-injection-detection/KLUE_roBERTa_based_model

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face

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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:

—normal
—attack

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.txt
—summary.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.