research
∙
01/20/2022
Adversarial Jamming for a More Effective Constellation Attack
The common jamming mode in wireless communication is band barrage jammin...
share
research
∙
01/20/2022
Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples
Deep learning is applied to many complex tasks in the field of wireless ...
research
∙
12/06/2021
A high order explicit time finite element method for the acoustic wave equation with discontinuous coefficients
In this paper, we propose a novel high order explicit time discretizatio...
research
∙
03/16/2021
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches
The security of object detection systems has attracted increasing attent...
research
∙
03/15/2021
The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion
Deep learning techniques have made an increasing impact on the field of ...
research
∙
03/15/2021
Boosting ship detection in SAR images with complementary pretraining techniques
Deep learning methods have made significant progress in ship detection i...
research
∙
12/27/2020
A Neural Network with Plane Wave Activation for Helmholtz Equation
This paper proposes a plane wave activation based neural network (PWNN) ...
research
∙
09/03/2020
An adaptive high-order unfitted finite element method for elliptic interface problems
We design an adaptive unfitted finite element method on the Cartesian me...
research
∙
07/11/2020
How Does GAN-based Semi-supervised Learning Work?
Generative adversarial networks (GANs) have been widely used and have ac...
research
∙
04/10/2020
Training few-shot classification via the perspective of minibatch and pretraining
Few-shot classification is a challenging task which aims to formulate th...
research
∙
04/10/2020
Deep Domain Decomposition Method: Elliptic Problems
This paper proposes a deep-learning-based domain decomposition method (D...
research
∙
04/10/2020
Towards GANs' Approximation Ability
Generative adversarial networks (GANs) have attracted intense interest i...
research
∙
04/10/2020
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness
With the growth of interest in the attack and defense of deep neural net...
research
∙
04/10/2020
Blind Adversarial Training: Balance Accuracy and Robustness
Adversarial training (AT) aims to improve the robustness of deep learnin...
research
∙
06/26/2019
Task-Driven Common Representation Learning via Bridge Neural Network
This paper introduces a novel deep learning based method, named bridge n...
research
∙
12/05/2018
