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GradientCuff-Jailbreak-Defense

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gregH commited on Feb 27

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@@ -79,7 +79,7 @@ This phenomenon could hamper scenarios requiring accurate uncertainty estimation
 </div>
 </div>
-<h3 id="refusal-loss">Calibration Metrics</h3>
 <p>Objectively, researchers utilize <strong>Calibration Metrics</strong> to measure the calibration error for a model, for example,
 Expected Calibration Error (ECE), Static Calibration Error (SCE), Adaptive Calibration Error (ACE), etc.</p>
@@ -110,7 +110,7 @@ Expected Calibration Error (ECE), Static Calibration Error (SCE), Adaptive Calib
 reliability diagrams often only provide fixed bar graphs statically, further explanation from the chart is limited. In
 this demonstration, we show how to make reliability diagrams interactive and insightful to help researchers and
 developers gain more insights from the graph. Specifically, we provide three CIFAR-100 classification models
-in this demonstration.  Multiple Bin numbers are also support</p>
 <p>We hope this tool could also facilitate the development process.</p>

 </div>
 </div>
+<h3 id="refusal-loss">Refusal Loss</h3>
 <p>Objectively, researchers utilize <strong>Calibration Metrics</strong> to measure the calibration error for a model, for example,
 Expected Calibration Error (ECE), Static Calibration Error (SCE), Adaptive Calibration Error (ACE), etc.</p>
 reliability diagrams often only provide fixed bar graphs statically, further explanation from the chart is limited. In
 this demonstration, we show how to make reliability diagrams interactive and insightful to help researchers and
 developers gain more insights from the graph. Specifically, we provide three CIFAR-100 classification models
+in this demonstration.  Multiple Bin numbers are also supported </p>
 <p>We hope this tool could also facilitate the development process.</p>