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awesome-graph-attack-papers
Adversarial attacks and defenses on Graph Neural Networks.
https://github.com/ChandlerBang/awesome-graph-attack-papers
Last synced: 3 days ago
JSON representation
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1. Survey Papers
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2. Attack Papers
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2.1 Targeted Attack
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper - Dai/graph_adversarial_attack)
- [paper - MSU/DeepRobust)
- [paper
- [paper
- [paper - USC/deceive-KG-models)
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
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- [paper
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- [paper
- [paper
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- [paper
- [paper
- [paper
- [paper
- [paper
- [paper - Dai/graph_adversarial_attack)
- [paper - MSU/DeepRobust)
- [paper
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2.2 Untargeted Attack
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2.3 Attacks on Combinatorial Problems
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3. Defense Papers
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2.3 Attacks on Combinatorial Problems
- [paper
- [paper - zhang/GARNET)
- [paper
- [paper
- [paper
- [paper - GCN)
- [paper
- [paper - Lab/GraphCL)
- [paper - stanford/GIB)
- [paper
- [paper
- [paper - GNN)
- [paper - Detect)
- [paper
- [paper
- [paper
- [paper
- [paper
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- [paper
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- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper - MSU/DeepRobust)
- [paper
- [paper
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4. Certified Robustness Papers
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