Statistical Inference for Privatized Data with Unknown Sample Size

Jordan Awan, Andres Felipe Barrientos, Nianqiao Ju

We develop both theory and algorithms to analyze privatized data in unbounded differential privacy (DP), where even the sample size is considered a sensitive quantity that requires…