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arXiv Machine Learning By Yuyang Xia, Ruixuan Liu, Li Xiong

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration

Read the original on arXiv Machine Learning →

arXiv:2608. 04255v1 Announce Type: cross Abstract: Graph inference over relational data can expose sensitive edge information, and this risk becomes more severe in dynamic graphs, where repeated model updates cause privacy loss to accumulate.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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