kor-prompt-injection-detection/KLUE_roBERTa_based_model

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.