Graph Neural Network

ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks

Authors: Zhan Cheng, Bolin Shen, Tianming Sha, Yuan Gao, Shibo Li, Yushun Dong | Published: 2025-03-20
Graph Neural Network
Model Performance Evaluation
Analysis of Detection Methods

LineVD: Statement-level Vulnerability Detection using Graph Neural Networks

Authors: David Hin, Andrey Kan, Huaming Chen, M. Ali Babar | Published: 2022-03-10 | Updated: 2022-03-25
Graph Neural Network
Deep Learning Method
Vulnerability Analysis

Deep Generative Models to Extend Active Directory Graphs with Honeypot Users

Authors: Ondrej Lukas, Sebastian Garcia | Published: 2021-09-13
Graph Neural Network
Data Extraction and Analysis
Data Generation

Graph Backdoor

Authors: Zhaohan Xi, Ren Pang, Shouling Ji, Ting Wang | Published: 2020-06-21 | Updated: 2021-08-10
Graph Neural Network
Attack Method
Watermarking Technology

DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder

Authors: Ao Zhang, Jinwen Ma | Published: 2020-06-16
Graph Neural Network
Adversarial Learning

GNNGuard: Defending Graph Neural Networks against Adversarial Attacks

Authors: Xiang Zhang, Marinka Zitnik | Published: 2020-06-15 | Updated: 2020-10-28
Graph Neural Network
Adversarial attack
Content Specialized for Toxicity Attacks