78 citations · 89 across the 16 of their papers we have counts for
20 papers
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks
Jinyin Chen, Haonan Ma, Haibin Zheng
Graph has become increasingly integral to the advancement of recommendation systems, particularly with the fast development of graph neural network(GNN). By exploring the virtue of…
Double Whammy: Stealthy Data Manipulation aided Reconstruction Attack on Graph Federated Learning
Jinyin Chen, Minying Ma, Haibin Zheng +1
Recent research has constructed successful graph reconstruction attack (GRA) on GFL. But these attacks are still challenged in aspects of effectiveness and stealth. To address the…
Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning
Jinyin Chen, Wenbo Mu, Luxin Zhang +3
Graph neural network (GNN) has captured wide attention due to its capability of graph representation learning for graph-structured data. However, the distributed data silos limit t…
LiDAttack: Robust Black-box Attack on LiDAR-based Object Detection
Jinyin Chen, Danxin Liao, Sheng Xiang +1
Since DNN is vulnerable to carefully crafted adversarial examples, adversarial attack on LiDAR sensors have been extensively studied. We introduce a robust black-box attack dubbed…
Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher Model
Jinyin Chen, Xiaoming Zhao, Haibin Zheng +3
Benefiting from well-trained deep neural networks (DNNs), model compression have captured special attention for computing resource limited equipment, especially edge devices. Knowl…
AIR: Threats of Adversarial Attacks on Deep Learning-Based Information Recovery
Jinyin Chen, Jie Ge, Shilian Zheng +5
A wireless communications system usually consists of a transmitter which transmits the information and a receiver which recovers the original information from the received distorte…