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On the Question of Statistical Confidentiality
Abstract
In Section 1 the nature of statistical confidentiality is explored, i.e., its essential role in the collection of data by statistical offices, its relationship to privacy and the need for increased attention to potential statistical disclosures because of the increased tabulation and dissemination capabilities of statistical offices. In Section 2 a definition of inadvertent direct disclosure is provided as well as a theorem concerning a test for residual disclosure of tabulations. In Section 3 different media and methods of data dissemination are considered from the point of view of potential for statistical disclosure.
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Cited by
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
SWEENEY, L. (2002) · International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems · doi:10.1142/s0218488502001648 · Cited by 8,571
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
Differential Privacy: A Survey of Results
Dwork, C. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-79228-4_1 · Cited by 3,542
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
Privacy-preserving data mining
Agrawal, R., & Srikant, R. (2000) · Proceedings of the 2000 ACM SIGMOD international conference on Management of data · doi:10.1145/342009.335438 · Cited by 1,719
Metadata
- Authors
- Fellegi, I. P.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1972-03
- Volume
- 67
- Issue
- 337
- Pages
- 7-18
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2028907859
- Cited by
- 180
- References
- 0
- FWCI
- 2.65
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
