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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
3893
Venue
SIGMOD
Year
2007
Pagerank
0.00018881387
Overall Rank
633 | 95.61%
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 0.00053910987
1,382 Minimality Attack in Privacy Preserving Data Publishing 2007 VLDB 0.00012270633
3,169 K-Automorphism: A General Framework for Privacy Preserving Network Publication 2009 VLDB 7.4545379e-05
4,527 Anonymization of Set-Valued Data via Top-Down, Local Generalization 2009 VLDB 6.1076171e-05
4,795 Optimal Random Perturbation at Multiple Privacy Levels 2009 VLDB 5.9104664e-05
7,889 SAP HANA goes private 6 From Privacy Research to Privacy Aware Enterprise Analytics 2019 VLDB 4.6211944e-05
8,306 Privacy Preserving Serial Data Publishing By Role Composition 2008 VLDB 4.5392079e-05
8,791 Dynamic Anonymization: Accurate Statistical Analysis with Privacy Preservation 2008 SIGMOD 4.4459403e-05
9,343 Preservation of Proximity Privacy in Publishing Numerical Sensitive Data 2008 SIGMOD 4.351469e-05
12,237 Non-homogeneous Generalization in Privacy Preserving Data Publishing 2010 SIGMOD 4.1905499e-05
12,335 TIAMAT: a Tool for Interactive Analysis of Microdata Anonymization Techniques 2009 VLDB 4.1905499e-05
12,351 Distribution-based Microdata Anonymization 2009 VLDB 4.1905499e-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 0.0003266103
305 On the Complexity of Optimal K-Anonymity 2004 PODS 0.00028264843
458 Incognito: Efficient Full-Domain K-Anonymity 2005 SIGMOD 0.00022698513
654 Anatomy: Simple and Effective Privacy Preservation 2006 VLDB 0.00018594644
1,639 Injecting Utility into Anonymized Datasets 2006 SIGMOD 0.00011049413
1,733 On k-Anonymity and the Curse of Dimensionality 2005 VLDB 0.00010715774
2,656 Personalized Privacy Preservation 2006 SIGMOD 8.3636527e-05
2,822 Achieving Anonymity via Clustering 2006 PODS 8.0624025e-05
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Semantically Similar Papers

Overall Rank Paper Year Venue Pagerank
4,795 Optimal Random Perturbation at Multiple Privacy Levels 2009 VLDB 5.9104664e-05
8,791 Dynamic Anonymization: Accurate Statistical Analysis with Privacy Preservation 2008 SIGMOD 4.4459403e-05
8,306 Privacy Preserving Serial Data Publishing By Role Composition 2008 VLDB 4.5392079e-05
4,981 Fast Data Anonymization with Low Information Loss 2007 VLDB 5.7823243e-05
8,934 Privacy Preservation by Disassociation 2012 VLDB 4.4229886e-05
3,103 Publishing Set-Valued Data via Differential Privacy 2011 VLDB 7.5578714e-05
12,138 Publishing Microdata with a Robust Privacy Guarantee 2012 VLDB 4.1905499e-05
3,382 Privacy-preserving Anonymization of Set-valued Data 2008 VLDB 7.1538038e-05
2,656 Personalized Privacy Preservation 2006 SIGMOD 8.3636527e-05
1,382 Minimality Attack in Privacy Preserving Data Publishing 2007 VLDB 0.00012270633