Blog / News

Privacy Tools Welcomes 18 New Summer Interns!

The Privacy Tools Project welcomed 18 new summer interns this week, consisting of 12 undergraduates/recent graduates and 6 graduate students. Students have joined us from universities across the U.S., and will work on the project for the next 10 weeks.

Visiting Scholar Marco Gaboardi arrives

Marco Gaboardi, of University of Dundee, Scotland, joined the Privacy Tools Project as a Visiting Scholar in December 2014. Marco has contributed greatly to programming languages for differential privacy.

Privacy Tools participates in TPDP Workshop as program chair, committee, and invited speaker

Visiting Scholar Marco Gaboardi is serving as the program chair of the Theory and Practice of Differential Privacy (TPDP) Workshop, to be held in London, UK on April 18th, 2015. The TPDP workshop is a part of The European Joint Conferences on Theory and Practice of Software (ETAPS), the primary European forum for academic and industrial researchers working on topics relating to Software Science. The program committee will include Salil Vadhan and Adam Smith.

Visiting Scholar Marco Gaboardi presents "Relational verification of Differential Privacy and Mechanism Design"

Visiting Scholar Marco Gaboardi spoke at the Harvard Theory of Computation Seminar. He will present, "Relational verification of Differential Privacy and Mechanism Design" to a theory audience.


Speaker:   Marco Gaboardi, University of Dundee and Visiting Scholar at Harvard CRCS

Place and Time:  Monday, March 9, 2015 – 1:00pm to 2:30pm. 

Room:  Brooks Room (Pierce Hall 213)

Title:    Relational verification of Differential Privacy and Mechanism Design...for a theory audience

Zelig releases version 5

The Privacy Tools project is happy to announce that Zelig: Everyone's Statistical Software version 5 has been released. Zelig works closely with the project's developing tools. It is an easy-to-use, free, open source, general purpose statistics program for estimating, interpreting, and presenting results from any statistical method.