Update index.html

index.html

@@ -143,13 +143,10 @@ Exploring Refusal Loss Landscapes </title>
 <p>
   Gradient Cuff can be summarized into two phases:
   <span>
-    $$
-    \begin{itemize}
-    \item \textbf{(Phase 1) Sampling-based Rejection:}~In the first step, we reject the user query $x$ by checking whether $f_\theta(x)<0.5$. If true, then $x$ is rejected, otherwise, $x$ is pushed into phase 2.
-    \item \textbf{(Phase 2) Gradient Norm Rejection:}~In the second step, we regard $x$ as having jailbreak attempts if the norm of the estimated gradient $g_\theta(x)$ is larger than a configurable threshold $t$, i.e., $\|g_\theta(x)\| > t$.
-\end{itemize}
-    $$
-  </span>
+    <strong>(Phase 1) Sampling-based Rejection:</strong> In the first step, we reject the user query  by checking whether $f_\theta(x)<0.5$. If true, then $x$ is rejected, otherwise, $x$ is pushed into phase 2.
+</p>
+<p>
+    <strong>(Phase 2) Gradient Norm Rejection:</strong> In the second step, we regard $x$ as having jailbreak attempts if the norm of the estimated gradient $g_\theta(x)$ is larger than a configurable threshold $t$, i.e., $\|g_\theta(x)\| > t$.
 </p>