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@@ -12,7 +12,7 @@ Using this model, we can classify malicious prompts that can lead towards creati
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  Our model, "Is it Phish?" is designed to identify malicious prompts that can be used to generate phishing websites and emails using popular commercial LLMs like ChatGPT, Bard and Claude.
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  This model is obtained by finetuning a Pre-Trained RoBERTa using a dataset encompassing multiple sets of malicious prompts, as detailed in our corresponding arXiv paper
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- - **Paper:** https://arxiv.org/abs/2310.19181
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  Try out "Is it Phish?" using the Inference API. Our model classifies prompts with "Label 1" to signify the identification of a phishing attempt, while "Label 0" denotes a prompt that is considered safe and non-malicious.
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  Achieved an accuracy of 96% with an F1-score of 0.96, on test sets distribution, explained in the paper.
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- ## Citation
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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  If you find Isitphish to be useful, please cite it with:
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  ```
@@ -57,4 +57,4 @@ If you find Isitphish to be useful, please cite it with:
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  archivePrefix={arXiv},
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  primaryClass={cs.CR}
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  }
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- ```
 
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  Our model, "Is it Phish?" is designed to identify malicious prompts that can be used to generate phishing websites and emails using popular commercial LLMs like ChatGPT, Bard and Claude.
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  This model is obtained by finetuning a Pre-Trained RoBERTa using a dataset encompassing multiple sets of malicious prompts, as detailed in our corresponding arXiv paper
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+ <!--- **Paper:** https://arxiv.org/abs/2310.19181 -->
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  Try out "Is it Phish?" using the Inference API. Our model classifies prompts with "Label 1" to signify the identification of a phishing attempt, while "Label 0" denotes a prompt that is considered safe and non-malicious.
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  Achieved an accuracy of 96% with an F1-score of 0.96, on test sets distribution, explained in the paper.
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+ <!--## Citation
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section.
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  If you find Isitphish to be useful, please cite it with:
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  ```
 
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  archivePrefix={arXiv},
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  primaryClass={cs.CR}
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  }
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+ ```-->