Injecting Utility into Anonymized Datasets

Summary: Introduces a formal utility metric for anonymized data and critiques existing heuristic utility measures. Builds a framework to inject semantically meaningful information into k-anonymity and l-diversity tables, boosting utility while preserving privacy guarantees. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3753
Venue: SIGMOD
Year: 2006
Pagerank: 0.00011060784
Overall Rank: 1,633 | 88.65%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Daniel Kifer
2. Johannes Gehrke

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
634	m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets	2007	SIGMOD	0.00018895628
654	Anatomy: Simple and Effective Privacy Preservation	2006	VLDB	0.00018613167
1,382	Minimality Attack in Privacy Preserving Data Publishing	2007	VLDB	0.00012281313
1,761	The Boundary Between Privacy and Utility in Data Publishing	2007	VLDB	0.00010651764
2,406	Attacks on Privacy and deFinetti's Theorem	2009	SIGMOD	8.8811954e-05
3,783	Time Series Compressibility and Privacy	2007	VLDB	6.7714995e-05
4,509	Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge	2007	VLDB	6.1270304e-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
4,979	Fast Data Anonymization with Low Information Loss	2007	VLDB	5.7878768e-05
7,772	K-Anonymization as Spatial Indexing: Toward Scalable and Incremental Anonymization	2007	VLDB	4.6554316e-05
9,338	Preservation of Proximity Privacy in Publishing Numerical Sensitive Data	2008	SIGMOD	4.3556432e-05
12,273	Fragments and Loose Associations: Respecting Privacy in Data Publishing	2010	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
40	Privacy-Preserving Data Mining	2000	SIGMOD	0.00074232718
136	Revealing Information while Preserving Privacy	2003	PODS	0.0004241101
147	On the Design and Quantification of Privacy Preserving Data Mining Algorithms	2001	PODS	0.00041235556
177	Limiting Privacy Breaches in Privacy Preserving Data Mining	2003	PODS	0.0003788711
304	On the Complexity of Optimal K-Anonymity	2004	PODS	0.00028290121
455	Incognito: Efficient Full-Domain K-Anonymity	2005	SIGMOD	0.00022717354
1,083	A Formal Analysis of Information Disclosure in Data Exchange	2004	SIGMOD	0.00014210752
1,137	User-adaptive exploration of multidimensional data	2000	VLDB	0.00013730532
1,735	On k-Anonymity and the Curse of Dimensionality	2005	VLDB	0.00010723402
2,577	Simulatable Auditing	2005	PODS	8.5099821e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
7,541	Privacy-Enhancing k-Anonymization of Customer Data	2005	PODS	4.7157092e-05
12,229	Non-homogeneous Generalization in Privacy Preserving Data Publishing	2010	SIGMOD	4.1945683e-05
225	Generalizing Data to Provide Anonymity when Disclosing Information	1998	PODS	0.00032707646
11,471	On Optimizing the Trade-off between Privacy and Utility in Data Provenance	2021	SIGMOD	4.1945683e-05
9,337	Minimizing Minimality and Maximizing Utility: Analyzing Method-based attacks on Anonymized Data	2010	VLDB	4.3556432e-05
3,381	Privacy-preserving Anonymization of Set-valued Data	2008	VLDB	7.1604078e-05
4,189	Towards an Axiomatization of Statistical Privacy and Utility	2010	PODS	6.3743594e-05
4,979	Fast Data Anonymization with Low Information Loss	2007	VLDB	5.7878768e-05
12,312	Anonymized Data: Generation, Models, Usage	2009	SIGMOD	4.1945683e-05
1,761	The Boundary Between Privacy and Utility in Data Publishing	2007	VLDB	0.00010651764