Differential privacy is becoming one gold standard for protecting the of publicly shared data. It has been widely used in social science, data public health, information technology, and U.S. decennial census. Nevertheless, to guarantee differential privacy, existing methods may unavoidably alter conclusion original analysis, as privatization often changes sample distribution. This phenomenon kn...