alabnii/sciclaimeval-shared-task huggingface dataset:
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\multicolumn{3}{c}{Config} & \multicolumn{4}{c}{Attack} \\
\cmidrule(r){1-3}\cmidrule(l){4-7}
Feature Extractor & Adversarial Train & Attack Generator & Clean & In & Out & In and Out \\
\midrule
Standard Trained & \color{green}\cmark & \color{red}\xmark & 0.706 & 0.263 & 0.147 & 0.029 \\
HAT & \color{red}\xmark & \color{red}\xmark & \textbf{0.947} & 0.741 & 0.720 & 0.511 \\
Not Used & \color{green}\cmark & \color{red}\xmark & 0.916 & 0.776 & 0.758 & 0.546 \\
Not Used & \color{green}\cmark & \color{red}\xmark & 0.923 & 0.789 & 0.771 & 0.560 \\
HAT & \color{green}\cmark & \color{red}\xmark & 0.943 & \textbf{0.837} & \textbf{0.862} & \textbf{0.693} \\
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\caption{Table 3: Ablation study on our method. Other choices for the feature extractor, training method, and generated data attacking are tested on CIFAR-10, but none of them is as effective as the setting used in the ATD.}
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