Bridging Privacy Definitions
This working group - composed of privacy experts across disciplines - explores the range of privacy-related definitions from law, computer science, and social science, covering topics such as measures of informational harm, de-identification techniques, formal privacy models such as differential privacy, and privacy standards from laws such as FERPA and HIPAA. The group explores the nature of these definitions, the relationships and gaps between them, and potential methods of bridging the disciplinary divide.
A recent product from this working group is a methodology for extracting a mathematical model from a legal standard such as FERPA. This product can be used to demonstrate that a privacy technology satisfies any given legal standard.
For the 2016-2017 year, we plan to focus on questions related to the broad conceptualization of informational harms, including group harms like discrimination and their relationship to the types of harms addressed by formal privacy definitions like differential privacy. We are also looking to develop methods for setting formal privacy parameters (like the differential privacy parameter epsilon) based on accepted legal, ethical, and social notions.
We are excited to hear from anyone seeking to explore multidisciplinary approaches to privacy. For more information and to join our mailing list, please contact Lindsay Froess at lfroess@seas.harvard.edu
Salil Vadhan
Micah Altman
Suso Baleato
Aaron Bembenek
Mark Bun
Marco Gaboardi
2018
2016
merging large-scale data sources hold tremendous potential for new scientific research into human biology, behaviors, and relationships. At the same time, big data research presents privacy and ethical challenges that the current regulatory framework is...
This article summarizes research exploring various models by which governments release data to the public and the interventions in place to protect the privacy of individuals in the data. Applying concepts from the recent scientific and legal literature...
Increasingly, governments and businesses are collecting, analyzing, and sharing detailed information about individuals over long periods of time. Vast quantities of data from new sources and novel methods for large-scale data analysis promise to yield...
2015
On September 24-25, 2013, the Privacy Tools for Sharing Research Data project at Harvard University held a workshop titled "Integrating Approaches to Privacy across the Research Data Lifecycle." Over forty leading experts in computer science, statistics...
- On March 13, 2018, members of the Privacy Tools team submitted comments to the Chief Statistician of the United States and the Statistical and Science Policy Branch in the U.S. Office of Management and Budget. In response to a request for information, the comments focus on privacy or confidentiality issues that arise when combining data from multiple sources in the course of federal statistical activities. See PDF here.
- On October 2, 2017, members of the Privacy Tools team submitted comments on the Future of Privacy Forum's proposed Open Data Risk Assessment for the City of Seattle. These comments informed the Future of Privacy Forum's report guiding the City of Seattle and other municipalities on the development of privacy-protective open data programs. Link to comments: https://fpf.org/wp-content/uploads/2018/01/Wood-Altman-Baleato-Vadhan_Comments-on-FPF-Seattle-Open-Data-Draft-Report.pdf. More details about the FPF Report: https://fpf.org/2018/01/30/fpf-publishes-model-open-data-benefit-risk-analysis/
- Members of the project team (PI Salil Vadhan, Co-PI Edo Airoldi, Co-PI Urs Gasser, Co-Investigator Micah Altman, Research Fellow Yves-Alexandre de Montjoye, Sr. Researcher David R. O'Brien, and Research Fellow Alexandra Wood) submitted comments on the Proposed Rules to Revise the Federal Policy for the Protection of Human Subjects ("Common Rule"), HHS-OPHS-2015-0008 (January 6, 2016). This commentary is available at http://www.regulations.gov/#%21documentDetail;D=HHS-OPHS-2015-0008-2015…;
- On May 23, 2016, Micah Altman provided testimony and written comments in a Hearing on “De-Identification and the Health Insurance Portability and Accountability Act (HIPAA)" before the Subcommittee on Privacy, Confidentiality & Security, National Committee on Vital and Health Statistics: https://www.ncvhs.hhs.gov/wp-content/uploads/2016/04/Altman-combined.pdf).
- M. Altman, O’Brien, D., Vadhan, S., and Wood, A., “Comment to The White House Office of Science and Technology Policy (OSTP): Big Data Study, Request for Information”. 2014.Abstract whitehousebigdataresponse1.pdf
- M. Altman, “Comment to the Federal Trade Commission on Mobile Device Tracking”. 2014. ftcmobileprivacycomment-140327134835-phpapp01.pdf Configure
- M. Altman, O’Brien, D., Vadhan, S., and Wood, A., “Comment to The White House Office of Science and Technology Policy (OSTP): Big Data Study, Request for Information”. 2014. Abstract whitehousebigdataresponse1.pdf
- D. J. Weitzner, et al., “Consumer Privacy Bill of Rights and Big Data: Response to White House Office of Science and Technology Policy Request for Information”. 2014.Abstract PDF version
- M. Altman, O’Brien, D., and Wood, A., “Comment on the Occupational Safety and Health Administration (OSHA) Proposed Rule: Improve Tracking of Workplace Injuries and Illnesses; Extension of Comment Period”. 2014. Full Text at Regulations.gov PDF version of comments whitehousebigdataresponse.pdf
- M. Altman, M. Crosas, et al.,on behalf on DataPASS, “Response to the National Institute of Health Request Information: Input on Development of NIH Data Catalog". 2013. PDF version of comments