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Jul, 2021
利用标签不确定性理解内在鲁棒性
Incorporating Label Uncertainty in Understanding Adversarial Robustness
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Xiao Zhang, David Evans
TL;DR
研究机器学习中的敌对性问题,提出一种考虑标签不确定性的集中度评估算法,提高了基准图像分类问题的内在鲁棒性测量准确性。
Abstract
A fundamental question in
adversarial machine learning
is whether a
robust classifier
exists for a given task. A line of research has made progress towards this goal by studying
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