A Practical Method to Reduce Privacy Loss when Disclosing Statistics Based on Small Samples
NBER Working Paper No. 25626
---- Acknowledgments ----
We thank John Abowd, Cynthia Dwork, Simson Garfinkel, Nathaniel Hendren, James Honaker, Adam Smith, Salil Vadhan, and the Harvard University Privacy Tools Project for valuable feedback, as well as Federico Gonzalez, Jamie Gracie, Martin Koenen, Kate Musen, Daniel Reuter, Jesse Silbert, and our other pre-doctoral fellows at Opportunity Insights for outstanding research assistance. We are grateful for funding from the Chan-Zuckerberg Initiative, the Bill and Melinda Gates Foundation, the Overdeck Foundation, and Harvard University. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.