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    <datestamp>2026-05-22T16:27:32Z</datestamp>
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  <dc:date>2026-05-22</dc:date>
  <dc:title>Adversarial Training Experimental Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00240.00208</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Public datasets including CIFAR-10, CIFAR-100,are used for model training and evaluation to verify the robustness and generalization performance of the proposed prior structure guided fast adversarial training method in image classification tasks. The experimental data can be used for adversarial training, robustness evaluation, and deep learning security research.</dc:description>
  <dc:subject>adversarial training; robustness; image classification; deep learning; public dataset</dc:subject>
  <dc:creator>Zhu Jindong</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
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  <dc:publisher>Science Data Bank</dc:publisher>
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