Principal Investigator: Chris Clifton
Census products based on sampling, such as the U.S. Census Burueau's American Community Survey, use a complex weighting process to improve accuracy. We have been studying how to apply formal privacy methods to weighted samples. A straightforward application of differential privacy results in unacceptably high noise: as the potential exists for a highly weighted individual to have a huge impact on results, considerable noise is needed to protect against this possibility.
This project is developing techniques to address these issues: providing formal privacy guarantees while releasing data with quantifiable data value.
Other PIs: Keith Merrill (Brandeis University)
Students: Shawn Merrill Eric Hanson (Brandeis University)