193 citations · 386 across the 31 of their papers we have counts for
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cs.LG2019★ 14 cited
Training Robust Deep Neural Networks via Adversarial Noise Propagation
Aishan Liu, Xianglong Liu, Chongzhi Zhang +3
In practice, deep neural networks have been found to be vulnerable to various types of noise, such as adversarial examples and corruption. Various adversarial defense methods have…
cs.LG2019★ 4 cited
Investigation of wind pressures on tall building under interference effects using machine learning techniques
Gang Hu, Lingbo Liu, Dacheng Tao +2
Interference effects of tall buildings have attracted numerous studies due to the boom of clusters of tall buildings in megacities. To fully understand the interference effects of…