A survey of graph-modification techniques for privacy-preserving on networks-Reference-Cited by-同舟云学术

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A survey of graph-modification techniques for privacy-preserving on networks

Published:2016-05-31 Issue:3 Volume:47 Page:341-366
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Casas-Roma Jordi,Herrera-Joancomartí Jordi,Torra Vicenç

Funder

Spanish Government

Ministerio de Econom?a y Competitividad

Agència de Gestió d’Ajuts Universitaris i de Recerc

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

http://link.springer.com/content/pdf/10.1007/s10462-016-9484-8.pdf

Reference71 articles.

1. Assam R, Hassani M, Brysch M, Seidl T (2014) ( $$k$$ k , $$d$$ d )-core anonymity: structural anonymization of massive networks. In: Proceedings of the 26th international conference on scientific and statistical database management (SSDBM ’14), vol 17, pp 1–17:12, Aalborg, Denmark, ACM

2. Backstrom L, Dwork C, Kleinberg J (2007) Wherefore art thou r3579x? Anonymized social networks, hidden patterns, and structural steganography. In: International conference on World Wide Web (WWW), WWW ’07, ACM Press, New York, NY, USA, pp 181–190

3. Bhagat S, Cormode G, Krishnamurthy B, Srivastava D (2009) Class-based graph anonymization for social network data. Proc VLDB Endow 2(1):766–777

4. Boldi P, Bonchi F, Gionis A, Tassa T (2012) Injecting uncertainty in graphs for identity obfuscation. Proc VLDB Endow 5(11):1376–1387

5. Bonchi F, Gionis A, Tassa T (2011) Identity obfuscation in graphs through the information theoretic lens. In: 2011 IEEE 27th international conference on data engineering, Washington, DC, USA, IEEE Computer Society, pp 924–935

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