查询效率高的基于决策的对抗性攻击,查询预算低

Yangzhuo Tuo1, Mengge Yin1, Shengbing Che2

  • 1School of Electronic Information and Physics, Central South University of Forestry and Technology, Changsha, 410004, China.

Scientific reports
|February 2, 2026
PubMed
概括

这项研究引入了一种新的基于决策的攻击,称为One Plane One Query Attack (OPOQA),以高效地为深度神经网络创建对抗示例. 通过更少的查询,OPOQA显著提高了攻击成功率,从而增强了模型安全研究.

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