• Corpus ID: 202780841

On Differentially Private Graph Sparsification and Applications

@inproceedings{Arora2019OnDP,
  title={On Differentially Private Graph Sparsification and Applications},
  author={R. Arora and Jalaj Upadhyay},
  booktitle={Neural Information Processing Systems},
  year={2019}
}
In this paper, we study private sparsification of graphs. In particular, we give an algorithm that given an input graph, returns a sparse graph which approximates the spectrum of the input graph while ensuring differential privacy. This allows one to solve many graph problems privately yet efficiently and accurately. This is exemplified with application of the proposed meta-algorithm to graph algorithms for privately answering cut-queries, as well as practical algorithms for computing {\scshape… 
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27 Citations
Background Citations
15
Methods Citations
3

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27 Citations

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