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

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

Ao Zhang
Jinwen Ma
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Papers citing "DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder"

4 / 4 papers shown
Title
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
Naheed Anjum Arafat
D. Basu
Yulia R. Gel
Yuzhou Chen
AAML
56
0
0
21 Sep 2024
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
Yan Scholten
Jan Schuchardt
Simon Geisler
Aleksandar Bojchevski
Stephan Günnemann
AAML
16
15
0
05 Jan 2023
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
41
98
0
16 May 2022
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection
Yulin Zhu
Y. Lai
Kaifa Zhao
Xiapu Luo
Ming Yuan
Jian Ren
Kai Zhou
AAML
14
24
0
18 Jun 2021