The goals of the Differential Privacy research group are to:
- Design and implement differentially private tools that will enable social scientists to share useful statistical information about sensitive datasets.
- Integrate these tools with the widely-used platforms developed by The Institute for Quantitative Social Science for sharing and exploring research data.
- Advance the theory of differential privacy in a variety of settings, including statistical analysis (e.g. statistical estimation, regression, and answering many statistical queries), machine learning, and economic mechanism design.
Please see below for further information about differential privacy and our group's work. To get involved, please email firstname.lastname@example.org and see our calls for summer interns, students, postdocs and visiting scholars.