Boosting the accuracy of differentially private in weighted social networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-019-08092-0.pdf
Reference22 articles.
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2. Das S, Egecioglu Ö, Abbadi AE (2010) Anonymizing weighted social network graphs. IEEE, International Conference on Data Engineering. IEEE, pp. 904–907
3. Dwork C (2006) Differential Privacy. In: Proceedings of the 33rd International Conference on Automata, Languages and Programming, Venice, pp. 1–12
4. Dwork C, Mcsherry F, Nissim K, et al (2006) Calibrating Noise to Sensitivity in Private Data Analysis. Theory of Cryptography, Springer Berlin Heidelberg, pp. 265–284
5. Hay M, Rastogi V, Miklau G et al (2010) Boosting the accuracy of differentially private histograms through consistency. Proceedings of the VLDB Endowment 3(1–2):1021–1032
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