Lijie Ren

Smoothly Bounding User Contributions in Differential Privacy

A differentially private algorithm guarantees that the input of a single user won’t significantly change the output distribution of the algorithm. When a user contributes more data points, more information can be collected to improve the algorithm’s performance. But at the same time, more noise migh…