Differential Correct Attribution Probability for Synthetic Data: An Exploration

Author:

Taub Jennifer,Elliot Mark,Pampaka Maria,Smith Duncan

Publisher

Springer International Publishing

Reference27 articles.

1. Caiola, G., Reiter, J.: Random forests for generating partially synthetic, categorical data. Trans. Data Priv. 3, 27–42 (2010)

2. Charest, A.: How can we analyze differentially-private synthetic datasets? J. Priv. Confid. 2(2), 21–33 (2010)

3. Chen, Y., Elliot, M., Sakshaug, J.: A genetic algorithm approach to synthetic data production. In: PrAISe 2016 Proceedings of the 1st International Workshop on AI for Privacy and Security, Hague, Netherlands. ACM (2016)

4. Dinur, I., Nissim, K.: Revealing information while preserving privacy. In: Principles of Database Systems, pp. 202–210 (2003)

5. Lecture Notes in Computer Science;J Drechsler,2010

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