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@@ -121,7 +121,10 @@ Exploring Refusal Loss Landscapes </title>
         <ul>
           <li>Paper: <a href="https://arxiv.org/abs/2310.04451" target="_blank" rel="noopener noreferrer">
             AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models</a></li>
-          <li>Brief Introduction: </li>
+          <li>Brief Introduction: AutoDAN, an automatic stealthy jailbreak prompts generation framework based on a carefully designed 
+            hierarchical genetic algorithm. AUtoDAN preserves the meaningfulness and fluency (i.e., stealthiness) of jailbreak prompts, 
+            akin to handcrafted ones, while also ensuring automated deployment as introduced in prior token-level research like GCG.
+          </li>
         </ul>
       </div>
       <h3>PAIR</h3>