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Jul, 2024
SPLITZ:通过分割的Lipschitz随机平滑实现可认证的鲁棒性
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
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Meiyu Zhong, Ravi Tandon
TL;DR
使用证明可靠性的robustness方法中,Lipschitz常量和随机平滑相结合的SPLITZ框架能够有效地提升深度网络的准确性和鲁棒性。
Abstract
certifiable robustness
gives the guarantee that small perturbations around an input to a classifier will not change the prediction. There are two approaches to provide
certifiable robustness
to adversarial exampl
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