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| license: unknown |
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| # Overview |
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| <!-- This model is obtained by finetuning Pre-Trained RoBERTa on dataset containing several sets of malicious prompts. |
| Using this model, we can classify malicious prompts that can lead towards creation of phishing websites and phishing emails. |
| This model is obtained by finetuning a Pre-Trained RoBERTa using a dataset encompassing multiple sets of malicious prompts, as detailed in the corresponding arXiv paper. |
| Using this model, we can classify malicious prompts that can lead towards creation of phishing websites and phishing emails. --> |
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| Our model is designed to identify malicious prompts that can be used to generate phishing websites and emails using popular commercial LLMs like ChatGPT and Gemini. |
| This model is obtained by finetuning a Pre-Trained RoBERTa using a dataset encompassing multiple sets of malicious prompts. |
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| ## Dataset Details |
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| The dataset utilized for training this model has been created using malicious prompts generated by GPT-4. |
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| ## Training Details |
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| The model was trained using RobertaForSequenceClassification.from_pretrained. |
| In this process, both the model and tokenizer pertinent to the RoBERTa-base were employed and trained for 10 epochs. |
