"Towards Certifying the Asymmetric Robustness for Neural Networks: ..."

Changjiang Li et al. (2022)

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DOI: 10.1109/TDSC.2021.3116105

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type: Journal Article

metadata version: 2022-12-05

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Changjiang Li, Shouling Ji, Haiqin Weng, Bo Li, Jie Shi, Raheem Beyah, Shanqing Guo, Zonghui Wang, Ting Wang:
Towards Certifying the Asymmetric Robustness for Neural Networks: Quantification and Applications. IEEE Trans. Dependable Secur. Comput. 19(6): 3987-4001 (2022)

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