Personalized Privacy Preservation

Summary: Introduces a personalized anonymity framework that generalizes data just enough to meet individual privacy needs, preserving more microdata than universal methods. Theoretical analysis shows when prior work fails and proves the minimal-generalization approach is superior; experiments corroborate. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3754
Venue: SIGMOD
Year: 2006
Pagerank: 8.3202837e-05
Overall Rank: 2,682 | 81.35%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Xiaokui Xiao
2. Yufei Tao

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 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
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
4,979	Fast Data Anonymization with Low Information Loss	2007	VLDB	5.7878768e-05
5,267	Practical Differential Privacy via Grouping and Smoothing	2013	VLDB	5.5972313e-05
5,483	rho-uncertainty: Inference-Proof Transaction Anonymization	2010	VLDB	5.4828795e-05
8,312	Privacy Preserving Serial Data Publishing By Role Composition	2008	VLDB	4.5435639e-05
8,438	Data Publishing against Realistic Adversaries	2009	VLDB	4.5131088e-05
10,041	A General Framework for Per-record Differential Privacy	2026	SIGMOD	4.1945683e-05
10,992	Personalized Truncation for Personalized Privacy	2024	SIGMOD	4.1945683e-05

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
136	Revealing Information while Preserving Privacy	2003	PODS	0.0004241101
304	On the Complexity of Optimal K-Anonymity	2004	PODS	0.00028290121
455	Incognito: Efficient Full-Domain K-Anonymity	2005	SIGMOD	0.00022717354
599	Mining Quantitative Association Rules in Large Relational Tables	1996	SIGMOD	0.00019394214
955	Privacy Preserving OLAP	2005	SIGMOD	0.00015075131
1,735	On k-Anonymity and the Curse of Dimensionality	2005	VLDB	0.00010723402
3,785	Checking for k-Anonymity Violation by Views	2005	VLDB	6.7690512e-05
7,541	Privacy-Enhancing k-Anonymization of Customer Data	2005	PODS	4.7157092e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
6,486	Differential Privacy in Data Publication and Analysis	2012	SIGMOD	5.0445043e-05
10,992	Personalized Truncation for Personalized Privacy	2024	SIGMOD	4.1945683e-05
10,041	A General Framework for Per-record Differential Privacy	2026	SIGMOD	4.1945683e-05
8,930	Privacy Preservation by Disassociation	2012	VLDB	4.427232e-05
8,309	Personalized Privacy Protection in Social Networks	2011	VLDB	4.5435639e-05
12,229	Non-homogeneous Generalization in Privacy Preserving Data Publishing	2010	SIGMOD	4.1945683e-05
1,382	Minimality Attack in Privacy Preserving Data Publishing	2007	VLDB	0.00012281313
12,130	Publishing Microdata with a Robust Privacy Guarantee	2012	VLDB	4.1945683e-05
225	Generalizing Data to Provide Anonymity when Disclosing Information	1998	PODS	0.00032707646
3,381	Privacy-preserving Anonymization of Set-valued Data	2008	VLDB	7.1604078e-05