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Oct, 2022
面向未知分布的对抗鲁棒性
Towards Out-of-Distribution Adversarial Robustness
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Adam Ibrahim, Charles Guille-Escuret, Ioannis Mitliagkas, Irina Rish, David Krueger...
TL;DR
该研究探讨了在深度学习领域，对抗性鲁棒性的问题及其解决方法，提出了领域泛化和风险外推方法来应对不同攻击方式，对测试攻击的准确率得到了大幅提升。
Abstract
adversarial robustness
continues to be a major challenge for
deep learning
. A core issue is that robustness to one type of
attack
often fa
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