Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models

Author:

Luttermann Malte,Möller Ralf,Hartwig Mattis

Publisher

Springer Nature Switzerland

Reference34 articles.

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2. Ahmadi, B., Kersting, K., Mladenov, M., Natarajan, S.: Exploiting symmetries for scaling loopy belief propagation and relational training. Mach. Learn. 92, 91–132 (2013)

3. Bao, E., Xiao, X., Zhao, J., Zhang, D., Ding, B.: Synthetic data generation with differential privacy via Bayesian networks. J. Priv. Confidentiality 11 (2021)

4. Biba, M., Ferilli, M., Esposito, F.: Structure learning of Markov logic networks through iterated local search. In: Proceedings of the Eighteenth European Conference on Artificial Intelligence (ECAI 2008), pp. 361–365. IOS Press (2008)

5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);M Biba,2008

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