Tabular diffusion models leak membership information via attacks even with partial attacker knowledge, and common heuristic privacy metrics like distance-to-closest-record are unreliable.
Yu, and Xuyun Zhang
2 Pith papers cite this work. Polarity classification is still indexing.
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Blockchain and AI integration for network security has strong conceptual fit but mostly prototype-level evidence; the paper offers a taxonomy, integration patterns, and the BASE evaluation checklist to organize the field.
citing papers explorer
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On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
Tabular diffusion models leak membership information via attacks even with partial attacker knowledge, and common heuristic privacy metrics like distance-to-closest-record are unreliable.
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Blockchain and AI: Securing Intelligent Networks for the Future
Blockchain and AI integration for network security has strong conceptual fit but mostly prototype-level evidence; the paper offers a taxonomy, integration patterns, and the BASE evaluation checklist to organize the field.