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Aug, 2016
评估神经网络的鲁棒性
Towards Evaluating the Robustness of Neural Networks
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Nicholas Carlini, David Wagner
TL;DR
本研究介绍了新型攻击算法,证明了防御蒸馏并不能显著提升神经网络的强度,提供了高置信度的对抗性样本用于简单的可迁移性测试,该测试可以用于破解防御蒸馏。
Abstract
We consider how to measure the
robustness
of a neural network against
adversarial examples
. We introduce three new attack algorithms, tailored to three different distance metrics, to find
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