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@@ -360,13 +360,14 @@ We provide more details about the running flow of Gradient Cuff in the paper.
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  </div>
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  <p>
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- We also evaluated adaptive attacks on LLMs with Gradient Cuff in place. Please refer to our paper for details.
 
 
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  </p>
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  <h2 id="inquiries"> Inquiries on LLM with Gradient Cuff defense</h2>
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- <p> We can provide with you the inference endpoints of the LLM with Gradient Cuff defense.
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- Please contact <a href="Mailto:greghxm@foxmail.com">Xiaomeng Hu</a>
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- and <a href="Mailto:pin-yu.chen@ibm.com">Pin-Yu Chen</a> if you need.
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  </p>
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  <h2 id="citations">Citations</h2>
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  <p>If you find Gradient Cuff helpful and useful for your research, please cite our main paper as follows:</p>
 
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  </div>
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  <p>
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+ Higher malicious refusal rate and lower benign refusal rate means a better defense.
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+ Overall, Gradient Cuff is the best compared with those baselines. We also evaluated Gradient Cuff against adaptive attacks
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+ in the paper.
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  </p>
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  <h2 id="inquiries"> Inquiries on LLM with Gradient Cuff defense</h2>
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+ <p> Please contact <a href="Mailto:greghxm@foxmail.com">Xiaomeng Hu</a>
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+ and <a href="Mailto:pin-yu.chen@ibm.com">Pin-Yu Chen</a>
 
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  </p>
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  <h2 id="citations">Citations</h2>
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  <p>If you find Gradient Cuff helpful and useful for your research, please cite our main paper as follows:</p>