10 citations · 32 across the 13 of their papers we have counts for
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cs.CV2020★ 10 cited
Towards Robust Neural Networks via Orthogonal Diversity
Kun Fang, Qinghua Tao, Yingwen Wu +5
Deep Neural Networks (DNNs) are vulnerable to invisible perturbations on the images generated by adversarial attacks, which raises researches on the adversarial robustness of DNNs.…
cs.LG2020★ 9 cited
End-to-end Kernel Learning via Generative Random Fourier Features
Kun Fang, Fanghui Liu, Xiaolin Huang +1
Random Fourier features (RFFs) provide a promising way for kernel learning in a spectral case. Current RFFs-based kernel learning methods usually work in a two-stage way. In the fi…