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Xingliang Yuan

Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Securing Graph Neural Networks in MLaaS: A Comprehensive Realisation of Query-based Integrity Verification
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks
Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks
Projective Ranking-based GNN Evasion Attacks
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications
Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks

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