Differential privacy technology has passed a preliminary transition from being the subject of academic work to initial implementations by large organizations and high-tech companies that have the expertise to develop and implement customized differentially private methods. With a growing collection of software packages for generating differentially private releases from summary statistics to machine learning models, differential privacy is now transitioning to being usable more widely and by smaller organizations. This webinar explains how administrative data containing personal...

Freelance Frontend Developer

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 (...

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...

"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-...