News

Salil Vadhan presents Keynote Address at COLT 2020

At the Conference on Learning Theory (COLT 2020),  Salil Vadhan will present "The Theory and Practice of Differential Privacy".  He will survey some of the recent theoretical advances and challenges in differential privacy, highlighting connections to learning theory. Salil will also discuss efforts toward wider practical adoption, such as OpenDP, a new community effort to build a suite of trusted, open-source tools for deploying differential privacy.

https://www.colt2020.org/virtual/speaker_1.html...

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Co-winner of the 2019 PET Award: "Bridging the Gap..."

"Bridging the Gap between Computer Science and Legal Approaches to Privacy" has been selected by the 2019 PET Award committee as a co-winner of the Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies.

About the award:  https://petsymposium.org/award/

Link to article: https://privacytools.seas.harvard.edu/publications/bridging-gap-between-...

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Suso Baleato wins Poster Prize in FAS Research Symposium

About the prize: Poster Prize of the 3rd Annual FAS Postdoc Research Symposium held June 21, 2019 at Northwest Building 52 Oxford Street. Organized by Harvard University Faculty of Arts and Sciences Office of Postdoctoral Affairs, and the FAS Postdoctoral Association. Donors include: QIAGEN, GENEWITZ,ThermoFisher Scientic, and Milipore Sigma.

About the poster: The poster shows how to use differential privacy with negligible utility loss to facilitate the replication and reuse of statistical analysis of sensitive datasets. We illustrate our approach with the case of the... Read more about Suso Baleato wins Poster Prize in FAS Research Symposium

New Course Spring 2019: Applied Privacy for Data Science

Computer Science 208: Applied Privacy for Data Science

The risks to privacy when making human subjects data available for research and how to protect against these risks using the formal framework of differential privacy. Methods for attacking statistical data releases, the mathematics of and software implementations of differential privacy, deployed solutions in industry and government. Assignments will include implementation and experimentation on data science tasks.

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Privacy Tools Retreat Monday 10/29, Tuesday 10/30

The Privacy Tools Project will be hosting a retreat on Monday, October 29, and Tuesday, October 30. All Privacy Tools colleagues and collaborators are welcome to join. The retreat will focus largely on work funded by the US Bureau of the Census and the National Science Foundation. 

The schedule included in the PDF below is subject to change.