Seminar at SMU Delhi
May 9, 2016 (Monday) ,
3:30 PM at Webinar
University of Maryland, Baltimore County
An overview of data analysis under confidentiality protection - analysis of noise multiplied and synthetic data
Abstract of Talk
Statistical agencies such as the US Census Bureau routinely collect data under law, parts of which are highly sensitive and hence require privacy protection before the data can be released to the public. Creating model based synthetic data is a very common method to hide real data, but its exact analysis is far from being simple. Likewise, noise multiplication is another simple idea to create unreal data. We will discuss exact data analysis methods under both noise multiplication & two different versions of synthetic data. The entire analysis is non-asymptotic in nature.