Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy
We give a simple, computationally efficient, and node-differentially-private algorithm for estimating the parameter of an Erdos-Renyi graph---that is, estimating p in a G(n,p)---with near-optimal accuracy. Our algorithm nearly matches the information-theoretically optimal exponential-time algorithm...
Main Authors: | Adam Sealfon, Jonathan Ullman |
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Format: | Article |
Language: | English |
Published: |
Labor Dynamics Institute
2021-02-01
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Series: | The Journal of Privacy and Confidentiality |
Subjects: | |
Online Access: | http://www.journalprivacyconfidentiality.org/index.php/jpc/article/view/745 |
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