DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks

18 October 2024

Papers citing "DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks"

10 / 10 papers shown

Title
Rethinking the Trigger-injecting Position in Graph Backdoor Attack Jing Xu Gorka Abad S. Picek LLMSV SILM 69 7 0 05 Apr 2023
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs Haibin Zheng Haiyang Xiong Jinyin Chen Hao-Shang Ma Guohan Huang 59 29 0 25 Oct 2022
Graph Backdoor Zhaohan Xi Ren Pang S. Ji Ting Wang AI4CE AAML 51 170 0 21 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Xia Hu Shuiwang Ji 73 398 0 03 Jun 2020
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 118 579 0 27 May 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 133 1,319 0 10 Mar 2019
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 81 1,929 0 27 Feb 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 459 20,124 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 474 15,218 0 07 Jun 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 303 5,364 0 03 Nov 2016