C-mixture and multi-constraints based genetic algorithm for collaborative data publishing
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[1] Ninghui Li,et al. Slicing: A New Approach for Privacy Preserving Data Publishing , 2009, IEEE Transactions on Knowledge and Data Engineering.
[2] Thomas Cerqueus,et al. A Systematic Comparison and Evaluation of k-Anonymization Algorithms for Practitioners , 2014, Trans. Data Priv..
[3] Raymond Chi-Wing Wong,et al. FF-Anonymity: When Quasi-identifiers Are Missing , 2009, 2009 IEEE 25th International Conference on Data Engineering.
[4] Chris Clifton,et al. On syntactic anonymity and differential privacy , 2013, 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW).
[5] Elisa Bertino,et al. Efficient k -Anonymization Using Clustering Techniques , 2007, DASFAA.
[6] ASHWIN MACHANAVAJJHALA,et al. L-diversity: privacy beyond k-anonymity , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[7] Elisa Bertino,et al. Efficient systematic clustering method for k-anonymization , 2011, Acta Informatica.
[8] Elisa Bertino,et al. A Supermodularity-Based Differential Privacy Preserving Algorithm for Data Anonymization , 2014, IEEE Transactions on Knowledge and Data Engineering.
[9] Benjamin C. M. Fung,et al. m-Privacy for collaborative data publishing , 2011, 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom).
[10] Vaidy S. Sunderam,et al. Secure multiparty aggregation with differential privacy: a comparative study , 2013, EDBT '13.
[11] Philip S. Yu,et al. Anonymizing Classification Data for Privacy Preservation , 2007, IEEE Transactions on Knowledge and Data Engineering.
[12] J. McCall,et al. Genetic algorithms for modelling and optimisation , 2005 .
[13] Hua Wang,et al. A family of enhanced (L, alpha)-diversity models for privacy preserving data publishing , 2011, Future Gener. Comput. Syst..
[14] Benjamin C. M. Fung,et al. Anonymizing trajectory data for passenger flow analysis , 2014 .
[15] Ninghui Li,et al. t-Closeness: Privacy Beyond k-Anonymity and l-Diversity , 2007, 2007 IEEE 23rd International Conference on Data Engineering.
[16] Josep Domingo-Ferrer,et al. Improving the Utility of Differentially Private Data Releases via k-Anonymity , 2013, 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications.
[17] Jian Pei,et al. Editorial [State of the Transactions] , 2014, IEEE Trans. Knowl. Data Eng..
[18] Raymond Chi-Wing Wong,et al. Small sum privacy and large sum utility in data publishing , 2014, J. Biomed. Informatics.
[19] Elisa Bertino,et al. Secure Anonymization for Incremental Datasets , 2006, Secure Data Management.
[20] Benjamin C. M. Fung,et al. Quantifying the costs and benefits of privacy-preserving health data publishing , 2014, J. Biomed. Informatics.
[21] Shubham Joshi,et al. Enhanced M-Privacy for Collaborative DataPublishing , 2014 .
[22] Ninghui Li,et al. Injector: Mining Background Knowledge for Data Anonymization , 2008, 2008 IEEE 24th International Conference on Data Engineering.
[23] Ashwin Machanavajjhala,et al. l-Diversity: Privacy Beyond k-Anonymity , 2006, ICDE.
[24] Ke Wang,et al. Small domain randomization , 2010, Proc. VLDB Endow..