Private Graphon Estimation for Sparse Graphs ∗
–Neural Information Processing Systems
Given a sparse input graph G, our algorithms output a node-differentially private nonparametric block model approximation. By node-differentially private, we mean that our output hides the insertion or removal of a vertex and all its adjacent edges.
Neural Information Processing Systems
Mar-13-2024, 00:29:54 GMT
- Country:
- Genre:
- Research Report (0.46)
- Industry:
- Information Technology > Security & Privacy (0.46)
- Technology: