128 citations · 252 across the 28 of their papers we have counts for
4 papers · 1 filter
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks
Yang Wang, Bo Dong, Ke Xu +4
Deep Neural Networks (DNNs) are widely used for computer vision tasks. However, it has been shown that deep models are vulnerable to adversarial attacks, i.e., their performances d…
Penetrating the Fog: the Path to Efficient CNN Models
Kun Wan, Boyuan Feng, Shu Yang +1
With the increasing demand to deploy convolutional neural networks (CNNs) on mobile platforms, the sparse kernel approach was proposed, which could save more parameters than the st…
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout
Kun Wan, Boyuan Feng, Lingwei Xie +1
Recently convolutional neural networks (CNNs) achieve great accuracy in visual recognition tasks. DenseNet becomes one of the most popular CNN models due to its effectiveness in fe…
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy
Boyuan Feng, Kun Wan, Shu Yang +1
Despite that accelerating convolutional neural network (CNN) receives an increasing research focus, the save on resource consumption always comes with a decrease in accuracy. To bo…