Latest

• Trustworthy Graph Neural Networks: Aspects, Methods and Trends
• Securing Graph Neural Networks in MLaaS: A Comprehensive Realisation of Query-based Integrity Verification
• GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks
• Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks
• 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