1. Deep Learning with Differential Privacy
2. Abowd, J., Ashmead, R., Simson, G., Kifer, D., Leclerc, P., Machanavajjhala, A., Moran, B., Sexton, W., and Zhuravlev, P. (2019), “Census TopDown Algorithm: Differentially Private Data, Incremental Schemas, and Consistency with Public Knowledge,” available at https://github.com/uscensusbureau/census2020-das-2010ddp/blob/master/doc/20191020_1843_Consistency_for_Large_Scale_Differentially_Private_Histograms.pdf.
3. The U.S. Census Bureau Adopts Differential Privacy
4. An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices
5. The Economics of Privacy