Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation-Reference-Cited by-同舟云学术

Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation

Published:2023-11-15 Issue: Volume: Page:
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Container-title:Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
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Author:

Zhu Xiaochen¹^ORCID,Tan Vincent Y. F.¹^ORCID,Xiao Xiaokui¹^ORCID

Affiliation:

1. National University of Singapore, Singapore, Singapore

Funder

Ministry of Education - Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576915.3623165

Reference54 articles.

1. Deep Learning with Differential Privacy

2. A random graph model for massive graphs

3. Apple. [n. d.]. Apple Differential Privacy Technical Overview. ([n. d.]). https://www.apple.com/privacy/docs/Differential_Privacy_Overview.pdf

4. David Arthur and Sergei Vassilvitskii. 2007. K-means the advantages of careful seeding. In SODA. 1027--1035.

5. Joseph Blitzstein and Persi Diaconis. 2011. A sequential importance sampling algorithm for generating random graphs with prescribed degrees. Internet mathematics, Vol. 6, 4 (2011), 489--522.

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