Update index.html

index.html

@@ -161,7 +161,7 @@ Exploring Refusal Loss Landscapes </title>
         <ul>
           <li>Paper: <a href="https://arxiv.org/abs/2310.02446" target="_blank" rel="noopener noreferrer">
             Low-Resource Languages Jailbreak GPT-4</a></li>
-          <li>Brief Introduction: Translate the malicious user query into low resource languages before using it to query the model.</li>
+          <li>Brief Introduction: Translate the malicious user query into low-resource language before using it to query the model.</li>
         </ul>
       </div>
     </div>
@@ -174,7 +174,8 @@ Exploring Refusal Loss Landscapes </title>
         <ul>
           <li>Paper: <a href="https://arxiv.org/abs/2309.00614" target="_blank" rel="noopener noreferrer">
             Baseline Defenses for Adversarial Attacks Against Aligned Language Models</a></li>
-          <li>Brief Introduction: </li>
+          <li>Brief Introduction: Perplexity Filter uses an LLM to compute the perplexity of the input query and rejects those
+            with high perplexity.</li>
         </ul>
       </div>
       <h3>SmoothLLM</h3>
@@ -182,7 +183,10 @@ Exploring Refusal Loss Landscapes </title>
         <ul>
           <li>Paper: <a href="https://arxiv.org/abs/2310.03684" target="_blank" rel="noopener noreferrer">
             SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks</a></li>
-          <li>Brief Introduction: </li>
+          <li>Brief Introduction: SmoothLLM perturbs the original input query to obtain several copies and aggregates 
+            the intermediate responses of the target LLM to these perturbed queries to give the final response to the
+            original query.
+          </li>
         </ul>
       </div>
       <h3>Erase-Check</h3>
@@ -190,7 +194,8 @@ Exploring Refusal Loss Landscapes </title>
         <ul>
           <li>Paper: <a href="https://arxiv.org/abs/2309.02705" target="_blank" rel="noopener noreferrer">
             Certifying LLM Safety against Adversarial Prompting</a></li>
-          <li>Brief Introduction: </li>
+          <li>Brief Introduction: Erase-Check employs a model to check whether the original query or any of its erased subsentences
+          is harmful. The query would be rejected if the query or one of its sub-sentences is regarded as harmful by the safety checker</li>
         </ul>
       </div>
       <h3>Self-Reminder</h3>
@@ -198,7 +203,8 @@ Exploring Refusal Loss Landscapes </title>
         <ul>
           <li>Paper: <a href="https://assets.researchsquare.com/files/rs-2873090/v1_covered_eb589a01-bf05-4f32-b3eb-0d6864f64ad9.pdf?c=1702456350" target="_blank" rel="noopener noreferrer">
             Defending ChatGPT against Jailbreak Attack via Self-Reminder</a></li>
-          <li>Brief Introduction: </li>
+          <li>Brief Introduction: Self-Reminder modifying the system prompt of the target LLM so that the model reminds itself to process 
+            and respond to the user in the context of being an aligned LLM.</li>
         </ul>
       </div>
     </div>