A Comprehensive Evaluation Framework for Deep Model Robustness

Deep neural networks (DNNs) have achieved remarkable performance across a wide range of applications, while they are vulnerable to adversarial examples, which motivates the evaluation and benchmark of model robustness.

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Cite this as

Jun Guo, Wei Bao, Jiakai Wang, Yuqing Ma, Xinghai Gao, Gang Xiaoe, Aishan Liu, Jian Dong, Xianglong Liu, Wenjun Wu (2024). Dataset: A Comprehensive Evaluation Framework for Deep Model Robustness. https://doi.org/10.57702/xvocvkz6

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2101.09617
Author Jun Guo
More Authors
Wei Bao
Jiakai Wang
Yuqing Ma
Xinghai Gao
Gang Xiaoe
Aishan Liu
Jian Dong
Xianglong Liu
Wenjun Wu
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