动态路由和知识重新学习用于无数据黑盒攻击

概括

本研究介绍了DraKe,这是一种针对深度学习模型的无数据黑子对抗性攻击的新框架. 德拉基动态学习替代模型,在攻击各种目标模型时优于现有方法.

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Associative Learning01:27

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Avoidance Learning and Learned Helplessness01:14

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