Congratulations to Kobbi Nissm, longtime part of the Privacy Tools Project leadership and McDewitt Chair in Computer Science at Georgetown University, for receiving Georgetown's 2020 Distinguished Achievement in Research Award!
The Harvard University Privacy Tools Project has an immediate need for a frontend developer to implement a Vue.js application based on defined workflows as well as wireframes.The project is iterative including regular interactions with the development team and UX lead.
Project elements include the creation of Vue.js components, state management with Vuex, the consumption and utilization of REST APIs, and the use of Material Design (...
The Privacy Tools Project is excited to be a partner on the new Cooperative Agreement from the US Census Bureau awarded to Boston University, aimed at developing methods for providing formal privacy guarantees for data collected through complex sample surveys:
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.
The Berkman Klein Center looks for law students to help the Privacy Tools Project research data privacy issues. Successful applicants will participate in the Berkman Klein Center's full time, 10-week summer internship program. Applications are due on March 15th, 2020 by 5 PM EST. For more information, please visit: http://cyber.law.harvard.edu/getinvolved/internships2020.
"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 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.
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.