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@@ -421,8 +421,8 @@
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         <p>
           Attackers can design adaptive attacks to try to bypass BEYOND when the attacker knows all the parameters of the model 
-          and the detection strategy. For an SSL model with a feature extractor $\displaystyle f$, a projector $\displaystyle h$, and a classification head $\displaystyle g$, 
-          the classification branch can be formulated as $\displaystyle \mathbb{C} = f\circ g$ and the representation branch as $\displaystyle \mathbb{R} = f\circ h$. 
+          and the detection strategy. For an SSL model with a feature extractor $f$, a projector $h$, and a classification head $g$, 
+          the classification branch can be formulated as $\mathbb{C} = f\circ g$ and the representation branch as $\mathbb{R} = f\circ h$. 
           To attack effectively, the adversary must deceive the target model while guaranteeing the label consistency and representation similarity of the SSL model. 
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@@ -460,7 +460,7 @@
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         <p class="eq-des label-loss">
-          where $\displaystyle k$ represents the number of generated neighbors, $\displaystyle y_t$ is the target class, and $\displaystyle \mathcal{L} is the cross entropy loss function$
+          where $\displaystyle k$ represents the number of generated neighbors, $\displaystyle y_t$ is the target class, and $\displaystyle \mathcal{L}$ is the cross entropy loss function
         </p>
         <p class="eq-des representation-loss" style="display: none">
           where $\displaystyle \mathcal{S}$ is the cosine similarity.