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Relationship Privacy: Output Perturbation for Queries with Joins

Summary: Output-perturbation for join queries on relationship data that reduces worst-case error from polynomial in n to polylogarithmic. Relaxes differential privacy to adversarial privacy, characterizing epsilon-indistinguishability for a class of bounded-prior adversaries. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1482
Venue
PODS
Year
2009
Pagerank
0.00021491332
Overall Rank
505 | 96.49%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
177 Limiting Privacy Breaches in Privacy Preserving Data Mining 2003 PODS 0.0003788711
803 Towards Identity Anonymization on Graphs 2008 SIGMOD 0.00016478924
1,083 A Formal Analysis of Information Disclosure in Data Exchange 2004 SIGMOD 0.00014210752
1,571 Resisting Structural Re-identification in Anonymized Social Networks 2008 VLDB 0.00011318916
1,761 The Boundary Between Privacy and Utility in Data Publishing 2007 VLDB 0.00010651764
2,625 Epistemic Privacy 2008 PODS 8.4317678e-05
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