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@@ -132,8 +132,8 @@ Exploring Refusal Loss Landscapes </title>
 <h2 id="demonstration">Demonstration</h2>
 <p>We evaluated Gradient Cuff as well as 4 baselines (Perplexity Filter, SmoothLLM, Erase-and-Check, and Self-Reminder) against 6 
   different jailbreak attacks~(GCG, AutoDAN, PAIR, TAP, Base64, and LRL) and benign user queries on 2 LLMs (LLaMA-2-7B-Chat and Vicuna-7B-V1.5). 
-  We report the average refusal rate across these 6 malicious user query datasets as True Positive Rate~(TPR) and the refusal rate 
-  on benign user queries as False Positive Rate~(FPR). 
+  We demonstrate the average refusal rate across these 6 malicious user query datasets and the refusal rate 
+  on benign user queries as the Benign Refusal Rate.
 </p>