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This paper considers the non-centralized version of privacy preserving data publishing (PPDP), which refers to generating published tables from multiple non-centralized private tables owned by different data holders. Traditional solutions to PPDP on a single centralized dataset cannot be directly applied to this problem. Even if every published table satisfies a traditional privacy preserving requirement individually, an adversary who can collect multiple published tables may be able to deducedoi:10.5121/ijdms.2012.4201 fatcat:igoj25gbuvdwdnloi4og3pchsa