Xiaorui Li

An effective classifier based on convolutional neural network and regularized extreme learning machine

2019 · Mathematical Biosciences & Engineering

An effective classifier combining convolutional neural network and regularized extreme learning machine (called as CNN-RELM) is presented in this paper. Firstly, CNN-RELM trains the convolutional neural network (CNN) using the gradient descent method until the …

Regularized Intermediate Layers Attack: Adversarial Examples With High Transferability

2021

Although convolutional neural network (CNN) models have demonstrated state-of-the-art performance, especially in many image classification and recognition tasks, the classification accuracy would significantly decreased in the adversarial image samples set by adding slight perturbations in …