BriefGPT.xyz
Jun, 2019
通过最小值最大化优化实现的敌对攻击生成
Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense
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Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu...
TL;DR
本文利用多域最小最大优化的一般性框架,推进了不同类型的对抗性攻击设计,并展示了该统一框架在攻击目标函数,抵御多输入下的统一扰动,生成攻击和数据变换下的对抗攻击等方面的优异性能和整体性工具的作用。
Abstract
The
worst-case training principle
that minimizes the maximal adversarial loss, also known as
adversarial training
(AT), has shown to be a state-of-the-art approach for enhancing adversarial robustness against nor
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