The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Privacy preserving OLAP
Abstract
We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (randomized) in order to preserve privacy before it is integrated at the server. We develop formal notions of privacy obtained from data perturbation and show that our perturbation provides guarantees against privacy breaches. We develop and analyze algorithms for reconstructing counts of subcubes over perturbed data. We also evaluate the tradeoff between privacy guarantees and reconstruction accuracy and show the practicality of our approach.
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Cites
Goldreich, O., Micali, S., & Wigderson, A. (1987) · Proceedings of the nineteenth annual ACM conference on Theory of computing - STOC '87 · doi:10.1145/28395.28420 · Cited by 3,590
Tools for privacy preserving distributed data mining
Clifton, C., Kantarcioglu, M., Vaidya, J., Lin, X., & Zhu, M. Y. (2002) · ACM SIGKDD Explorations Newsletter · doi:10.1145/772862.772867 · Cited by 890
Cited by
L -diversity: Privacy beyond k -anonymity
Machanavajjhala, A., Kifer, D., Gehrke, J., & Venkitasubramaniam, M. (2007) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/1217299.1217302 · Cited by 3,617
L-diversity: privacy beyond k-anonymity
Machanavajjhala, A., Gehrke, J., Kifer, D., & Venkitasubramaniam, M. (2006) · 22nd International Conference on Data Engineering (ICDE'06) · doi:10.1109/icde.2006.1 · Cited by 2,362
A General Survey of Privacy-Preserving Data Mining Models and Algorithms
Aggarwal, C. C., & Yu, P. S. (2008) · Advances in Database Systems · doi:10.1007/978-0-387-70992-5_2 · Cited by 469
Privacy and contextual integrity: framework and applications
Barth, A., Datta, A., Mitchell, J. C., & Nissenbaum, H. (2006) · 2006 IEEE Symposium on Security and Privacy (S&P'06) · doi:10.1109/sp.2006.32 · Cited by 451
Privacy: Theory meets Practice on the Map
Machanavajjhala, A., Kifer, D., Abowd, J., Gehrke, J., & Vilhuber, L. (2008) · 2008 IEEE 24th International Conference on Data Engineering · doi:10.1109/icde.2008.4497436 · Cited by 435
Metadata
- Authors
- Agrawal, R., Srikant, R., & Thomas, D.
- Venue
- Proceedings of the 2005 ACM SIGMOD international conference on Management of data
- Publisher
- ACM
- Published
- 2005-06-14
- Pages
- 251-262
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W2118024521
- Cited by
- 242
- References
- 2
- FWCI
- 11.69
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Agrawal, R., Srikant, R., & Thomas, D. (2005). Privacy preserving OLAP. Proceedings of the 2005 ACM SIGMOD international conference on Management of data. https://doi.org/10.1145/1066157.1066187
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
