research
∙
06/02/2022
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection
Recent methods based on Deep Neural Networks (DNNs) have reached high ac...
share
research
∙
10/19/2021
A Regularization Method to Improve Adversarial Robustness of Neural Networks for ECG Signal Classification
Electrocardiogram (ECG) is the most widely used diagnostic tool to monit...
research
∙
09/17/2020
An Algorithm to Attack Neural Network Encoder-based Out-Of-Distribution Sample Detector
Deep neural network (DNN), especially convolutional neural network, has ...
research
∙
08/08/2020
Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length
Electrocardiogram (ECG) is the most widely used diagnostic tool to monit...
research
∙
05/19/2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
Convolutional neural network (CNN) has surpassed traditional methods for...
research
∙
05/18/2020