The Privacy Tools Project is a broad effort to advance a multidisciplinary understanding of data privacy issues and build computational, statistical, legal, and policy tools to help address these issues in a variety of contexts. It was incubated by Harvard's Center for Research on Computation and Society, and continues to be a collaborative effort between several units at Harvard University (the School of Engineering and Applied Sciences, Institute for Quantitative Social Science, and Berkman Klein Center for Internet & Society), Georgetown University (Computer Science Department), Boston University (Computer Science Department) and MIT (Center for Research in Equitable and Open Scholarship).
Our work is funded by the National Science Foundation, the Sloan Foundation, the US Bureau of the Census, and Google. Any opinions, findings, conclusions, or recommendations expressed on this website are those of the author(s) and do not necessarily reflect the views of our funders.
Featured Popular Articles
- "Why The World Watches America's Lead On Privacy Issues" by Adam Tanner (November 13, 2014 - Forbes)
- "Nine Things You Don't Know About The Gathering Of Your Personal Data" by Adam Tanner (November 4, 2014 - Forbes)
Recent Publications
- Controlling Privacy Loss in Sampling Schemes: An Analysis of Stratified and Cluster Sampling.
- Private rank aggregation in central and local models.
- Private sequential hypothesis testing for statisticians: Privacy, error rates, and sample size.
- Differentially Private Simple Linear Regression
- Multiclass versus Binary Differentially Private PAC Learning
- Legal Theorems: Bridging Computer Science and Privacy Law