{"data":{"id":"236d5f38-6c18-4f19-baf3-9aae5ec7655a","title":"Topology-Guided Adversarial Attack on Graph Neural Networks Based on Dynamic Node Selection","summary":"Researchers propose DNS-TGA, a topology-guided adversarial attack on Graph Neural Networks that works in black-box settings. The method builds a graph representation aligned with the victim model using a similarity measure against a shadow model, then uses the volcanic eruption algorithm (VEA) to select critical nodes. A dual-discriminator built from the shadow and victim models generates perturbation samples. The authors report superior attack performance across six representative GNN models, plus scalability and transferability.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11740700","publishedAt":"2026-10-19T13:17:05.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-10-19T13:17:05.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.93,"researchCategory":"peer_reviewed","atlasIds":null}}