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Jun, 2023
对抗鲁棒学习理论基础
Theoretical Foundations of Adversarially Robust Learning
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Omar Montasser
TL;DR
本文提出了一种学习算法,旨在解决对抗性示例对机器学习模型的攻击,并尝试通过设计新的算法和理论分析来提高其鲁棒性和性能。
Abstract
Despite extraordinary progress, current
machine learning
systems have been shown to be brittle against
adversarial examples
: seemingly innocuous but carefully crafted perturbations of test examples that cause
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