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m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets

Summary: Proposes m-Invariance, a generalization for privacy-preserving re-publication of dynamic data. Shows k-anonymity/l-diversity fail for updates; presents an algorithm to compute privacy-guarded relations for accurate aggregates, validated on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3892
Venue
SIGMOD
Year
2007
Pagerank
0.00018895628
Overall Rank
634 | 95.60%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank Citing Paper Year Venue Pagerank
83 Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis 2009 SIGMOD 0.00053933811
1,382 Minimality Attack in Privacy Preserving Data Publishing 2007 VLDB 0.00012281313
3,161 K-Automorphism: A General Framework for Privacy Preserving Network Publication 2009 VLDB 7.4613905e-05
4,524 Anonymization of Set-Valued Data via Top-Down, Local Generalization 2009 VLDB 6.1133444e-05
4,794 Optimal Random Perturbation at Multiple Privacy Levels 2009 VLDB 5.9161511e-05
7,887 SAP HANA goes private 6 From Privacy Research to Privacy Aware Enterprise Analytics 2019 VLDB 4.6256301e-05
8,312 Privacy Preserving Serial Data Publishing By Role Composition 2008 VLDB 4.5435639e-05
8,794 Dynamic Anonymization: Accurate Statistical Analysis with Privacy Preservation 2008 SIGMOD 4.4502028e-05
9,338 Preservation of Proximity Privacy in Publishing Numerical Sensitive Data 2008 SIGMOD 4.3556432e-05
12,229 Non-homogeneous Generalization in Privacy Preserving Data Publishing 2010 SIGMOD 4.1945683e-05
12,327 TIAMAT: a Tool for Interactive Analysis of Microdata Anonymization Techniques 2009 VLDB 4.1945683e-05
12,343 Distribution-based Microdata Anonymization 2009 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
225 Generalizing Data to Provide Anonymity when Disclosing Information 1998 PODS 0.00032707646
304 On the Complexity of Optimal K-Anonymity 2004 PODS 0.00028290121
455 Incognito: Efficient Full-Domain K-Anonymity 2005 SIGMOD 0.00022717354
654 Anatomy: Simple and Effective Privacy Preservation 2006 VLDB 0.00018613167
1,633 Injecting Utility into Anonymized Datasets 2006 SIGMOD 0.00011060784
1,735 On k-Anonymity and the Curse of Dimensionality 2005 VLDB 0.00010723402
2,682 Personalized Privacy Preservation 2006 SIGMOD 8.3202837e-05
2,815 Achieving Anonymity via Clustering 2006 PODS 8.0702535e-05
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Semantically Similar Papers

Overall Rank Paper Year Venue Pagerank
4,794 Optimal Random Perturbation at Multiple Privacy Levels 2009 VLDB 5.9161511e-05
8,794 Dynamic Anonymization: Accurate Statistical Analysis with Privacy Preservation 2008 SIGMOD 4.4502028e-05
8,312 Privacy Preserving Serial Data Publishing By Role Composition 2008 VLDB 4.5435639e-05
4,979 Fast Data Anonymization with Low Information Loss 2007 VLDB 5.7878768e-05
8,930 Privacy Preservation by Disassociation 2012 VLDB 4.427232e-05
3,097 Publishing Set-Valued Data via Differential Privacy 2011 VLDB 7.5647028e-05
12,130 Publishing Microdata with a Robust Privacy Guarantee 2012 VLDB 4.1945683e-05
3,381 Privacy-preserving Anonymization of Set-valued Data 2008 VLDB 7.1604078e-05
2,682 Personalized Privacy Preservation 2006 SIGMOD 8.3202837e-05
1,382 Minimality Attack in Privacy Preserving Data Publishing 2007 VLDB 0.00012281313