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: 3755
Venue: SIGMOD
Year: 2006
Pagerank: 8.3636527e-05
Overall Rank: 2,656 | 81.55%
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
633	m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets	2007	SIGMOD	0.00018881387
654	Anatomy: Simple and Effective Privacy Preservation	2006	VLDB	0.00018594644
1,382	Minimality Attack in Privacy Preserving Data Publishing	2007	VLDB	0.00012270633
3,788	Time Series Compressibility and Privacy	2007	VLDB	6.7624343e-05
4,512	Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge	2007	VLDB	6.1188233e-05
4,981	Fast Data Anonymization with Low Information Loss	2007	VLDB	5.7823243e-05
5,492	rho-uncertainty: Inference-Proof Transaction Anonymization	2010	VLDB	5.4777688e-05
5,753	Practical Differential Privacy via Grouping and Smoothing	2013	VLDB	5.33923e-05
8,306	Privacy Preserving Serial Data Publishing By Role Composition	2008	VLDB	4.5392079e-05
8,429	Data Publishing against Realistic Adversaries	2009	VLDB	4.5089326e-05
10,041	A General Framework for Per-record Differential Privacy	2026	SIGMOD	4.1905499e-05
10,995	Personalized Truncation for Personalized Privacy	2024	SIGMOD	4.1905499e-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
137	Revealing Information while Preserving Privacy	2003	PODS	0.00042381562
305	On the Complexity of Optimal K-Anonymity	2004	PODS	0.00028264843
458	Incognito: Efficient Full-Domain K-Anonymity	2005	SIGMOD	0.00022698513
602	Mining Quantitative Association Rules in Large Relational Tables	1996	SIGMOD	0.00019350521
957	Privacy Preserving OLAP	2005	SIGMOD	0.00015065499
1,733	On k-Anonymity and the Curse of Dimensionality	2005	VLDB	0.00010715774
3,786	Checking for k-Anonymity Violation by Views	2005	VLDB	6.7652896e-05
7,475	Privacy-Enhancing k-Anonymization of Customer Data	2005	PODS	4.714352e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
6,480	Differential Privacy in Data Publication and Analysis	2012	SIGMOD	5.0396886e-05
10,995	Personalized Truncation for Personalized Privacy	2024	SIGMOD	4.1905499e-05
10,041	A General Framework for Per-record Differential Privacy	2026	SIGMOD	4.1905499e-05
8,934	Privacy Preservation by Disassociation	2012	VLDB	4.4229886e-05
8,303	Personalized Privacy Protection in Social Networks	2011	VLDB	4.5392079e-05
12,237	Non-homogeneous Generalization in Privacy Preserving Data Publishing	2010	SIGMOD	4.1905499e-05
1,382	Minimality Attack in Privacy Preserving Data Publishing	2007	VLDB	0.00012270633
12,138	Publishing Microdata with a Robust Privacy Guarantee	2012	VLDB	4.1905499e-05
225	Generalizing Data to Provide Anonymity when Disclosing Information	1998	PODS	0.0003266103
3,382	Privacy-preserving Anonymization of Set-valued Data	2008	VLDB	7.1538038e-05