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Rethinking the Trigger-injecting Position in Graph Backdoor Attack
v1v2 (latest)

Rethinking the Trigger-injecting Position in Graph Backdoor Attack

IEEE International Joint Conference on Neural Network (IJCNN), 2023
5 April 2023
Jing Xu
Gorka Abad
S. Picek
    LLMSVSILM
ArXiv (abs)PDFHTML

Papers citing "Rethinking the Trigger-injecting Position in Graph Backdoor Attack"

3 / 3 papers shown
Title
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural
  Networks
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
Hao Sui
Bing Chen
J. Zhang
Chengcheng Zhu
Di Wu
Qinghua Lu
Guodong Long
AAML
293
4
0
18 Oct 2024
"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning
"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning
Jiale Zhang
Chengcheng Zhu
Bosen Rao
Hao Sui
Xiaobing Sun
Bing Chen
Chunyi Zhou
Shouling Ji
AAML
175
0
0
02 Oct 2024
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated
  Graph Neural Network
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network
Fan Liu
Siqi Lai
Yansong Ning
Hao Liu
AAMLFedML
177
4
0
17 Jun 2023
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