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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

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Additional Info

Field	Value
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
Homepage	https://openi.org.cn/OpenI/AISafety