Statistical disclosure control of sensitive tabular data by complementary cell suppression: myth & reality

Currently, complementary cell suppression procedures are mostly used by statistical agencies to protect sensitive tabular data from disclosure. It is generally believed that the linear programming (LP) based complementary cell suppression procedures offer the best protection from wrongful disclosure of statistical information. This paper identifies limitations of conclusions drawn using LP-based audit procedures.