52: Stratified Differential Privacy in Randomized Response: A Simulation Study

Grace Kim First Author
Wayzata High School, Minnesota, USA
 
Grace Kim Presenting Author
Wayzata High School, Minnesota, USA
 
Monday, Aug 4: 2:00 PM - 3:50 PM
0926 
Contributed Posters 
Music City Center 
This research explores the application of stratified differential privacy in randomized response mechanisms to ensure data confidentiality while maintaining analytical utility. Using R simulations, we implement the Warner randomized response technique with stratification, incorporating Laplace and Gaussian noise mechanisms under varying privacy budgets. The study evaluates the bias and variance of the estimated proportions across different strata. Our results highlight the impact of differential privacy parameters on data utility and privacy protection.

Keywords

Data Privacy

Randomized response technique

Stratified Random Sampling

Probability 

Abstracts


Main Sponsor

Korean International Statistical Society