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@@ -421,7 +421,7 @@
         <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 <i>f</i>, a projector <i>h</i>, and a classification head <i>g</i>, 
-          the classification branch can be formulated as <strong>C</strong>= <i>f</i> &deg <i>g</i> and the representation branch as <strong>R</strong> = <i>f</i> &deg <i>h</i>. 
+          the classification branch can be formulated as <strong>C</strong>= <i>f</i> &deg; <i>g</i> and the representation branch as <strong>R</strong> = <i>f</i> &deg; <i>h</i>. 
           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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@@ -466,7 +466,8 @@
         </p>
           
         <p class="formula total-loss formula-content" style="display: none;">
-          where <strong><i>L</i></strong><sub>C</sub> indicates classifier's loss function, <i>y</i><sub><i>t</i></sub> is the targeted class, and &alpha refers to a hyperparameter.
+          where <strong><i>L</i></strong><sub>C</sub> indicates classifier's loss function, <i>y</i><sub><i>t</i></sub> is the targeted class, and &alpha; refers to a hyperparameter, 
+          which is a trade-off parameter between label consistency and representation similarity..
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