BriefGPT.xyz
Apr, 2018
ADef:一种构建对抗扭曲的迭代算法
ADef: an Iterative Algorithm to Construct Adversarial Deformations
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Rima Alaifari, Giovanni S. Alberti, Tandri Gauksson
TL;DR
本文介绍了ADef算法,通过基于梯度下降的迭代过程来构建不同于过去提出的将正确分类的图像加上失真的所谓对抗性攻击的新型对抗性攻击,旨在增强对于深度神经网络的稳定性,进行实验验证。
Abstract
While
deep neural networks
have proven to be a powerful tool for many recognition and classification tasks, their
stability properties
are still not well understood. In the past, image classifiers have been shown
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