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A statistical database (StatDB) retrieves only aggregate results, as opposed to individual tuples. This paper investigates the construction of a privacy preserving StatDB that can (i) accurately answer an infinite number of counting queries, and (ii) effectively protect privacy against an adversary that may have acquired all the previous query results. The core of our solutions is a novel technique called dynamic anonymization. Specifically, given a query, we on the fly compute a tailor-madedoi:10.1145/1376616.1376630 dblp:conf/sigmod/XiaoT08 fatcat:ufkx6kt2wvdg7ku4zhzczanobi