research
∙
08/18/2023
RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Images
With the rapid development of the image generation technologies, the mal...
share
research
∙
07/01/2023
Common Knowledge Learning for Generating Transferable Adversarial Examples
This paper focuses on an important type of black-box attacks, i.e., tran...
research
∙
02/07/2023
Heterophily-Aware Graph Attention Network
Graph Neural Networks (GNNs) have shown remarkable success in graph repr...
research
∙
10/24/2022
Binary Graph Convolutional Network with Capacity Exploration
The current success of Graph Neural Networks (GNNs) usually relies on lo...
research
∙
09/23/2022
Relation Embedding based Graph Neural Networks for Handling Heterogeneous Graph
Heterogeneous graph learning has drawn significant attentions in recent ...
research
∙
08/16/2021
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy
The transferability and robustness of adversarial examples are two pract...
research
∙
05/01/2021
A Perceptual Distortion Reduction Framework for Adversarial Perturbation Generation
Most of the adversarial attack methods suffer from large perceptual dist...
research
∙
10/15/2020
Bi-GCN: Binary Graph Convolutional Network
Graph Neural Networks (GNNs) have achieved tremendous success in graph r...
research
∙
03/05/2020
Fake Generated Painting Detection via Frequency Analysis
With the development of deep neural networks, digital fake paintings can...
research
∙
11/26/2019
Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism
Recently, Human Attribute Recognition (HAR) has become a hot topic due t...
research
∙
01/09/2018
Fake Colorized Image Detection
Image forensics aims to detect the manipulation of digital images. Curre...
research
∙
07/18/2017