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
グラフニューラルネットワーク
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
Deep Generative Models to Extend Active Directory Graphs with Honeypot Users
Authors: Ondrej Lukas, Sebastian Garcia | Published: 2021-09-13
Graph Backdoor
Authors: Zhaohan Xi, Ren Pang, Shouling Ji, Ting Wang | Published: 2020-06-21 | Updated: 2021-08-10
DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder
Authors: Ao Zhang, Jinwen Ma | Published: 2020-06-16
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Authors: Xiang Zhang, Marinka Zitnik | Published: 2020-06-15 | Updated: 2020-10-28