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Dec, 2022
CSTAR:小型化和结构化深度神经网络及其对抗防御
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness
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Huy Phan, Miao Yin, Yang Sui, Bo Yuan, Saman Zonouz
TL;DR
在本文中,我们提出了CSTAR,一种新的方法,可以在目标深度神经网络模型上同时实现基于低秩的紧凑性,高结构性和高对抗鲁棒性。与现有的强鲁棒性结构修剪方法相比,CSTAR在不同数据集上的各种深度神经网络模型上均表现出更好的性能。
Abstract
model compression
and
model defense
for
deep neural networks
(DNNs) have been extensively and individually studied. Considering the co-imp
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