提高视频识别模型的稳定性:稀疏的对抗性攻击和超越

Ronghui Mu1, Leandro Marcolino2, Qiang Ni2

  • 1Department of Computer Science, University of Liverpool, Liverpool, UK.

概括

DeepSAVA为视频引入了稀疏的对抗性攻击,为关键添加了不可察觉的变化,以欺骗分类器. 这种方法实现了高攻击成功和可转移性,并通过对抗训练提高了模型的稳定性.

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