8 citations · 24 across the 8 of their papers we have counts for
4 papers · 1 filter
An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder
Liang Liang, Linhai Ma, Linchen Qian +1
Deep neural networks (DNNs), especially convolutional neural networks, have achieved superior performance on image classification tasks. However, such performance is only guarantee…
Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length
Linhai Ma, Liang Liang
Electrocardiogram (ECG) is the most widely used diagnostic tool to monitor the condition of the cardiovascular system. Deep neural networks (DNNs), have been developed in many rese…
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
Linhai Ma, Liang Liang
Deep neural networks (DNNs) are vulnerable to adversarial noises. Adversarial training is a general and effective strategy to improve DNN robustness (i.e., accuracy on noisy data)…
Improve robustness of DNN for ECG signal classification:a noise-to-signal ratio perspective
Linhai Ma, Liang Liang
Electrocardiogram (ECG) is the most widely used diagnostic tool to monitor the condition of the cardiovascular system. Deep neural networks (DNNs), have been developed in many rese…