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<h2 class="title is-3">Detection Performance</h2>
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<table class="tg" border="1" style="width:100%;
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<caption><strong>Table 1.</strong>The Area Under the ROC Curve (AUC) of Different Adversarial Detection Approaches on CIFAR-10. LNG
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is not open-sourced and the data comes from its report. To align with baselines, classifier: ResNet110, FGSM: ε = 0.05, PGD:
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ε = 0.02. Note that BEYOND needs no AE for training, leading to the same value on both seen and unseen settings. The <strong>bold</strong> values
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<h2 class="title is-3">Detection Performance</h2>
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<div class="column container-centered">
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<table class="tg" border="1" style="width:100%;">
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<caption><strong>Table 1.</strong>The Area Under the ROC Curve (AUC) of Different Adversarial Detection Approaches on CIFAR-10. LNG
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is not open-sourced and the data comes from its report. To align with baselines, classifier: ResNet110, FGSM: ε = 0.05, PGD:
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ε = 0.02. Note that BEYOND needs no AE for training, leading to the same value on both seen and unseen settings. The <strong>bold</strong> values
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