Category: Use Cases

Photo of people socializing at a reception at the Harvard Science and Engineering Complex

The UNHCR uses Differential Privacy for their Microdata Library

The UNHCR, the United Nations Refugee Agency, reached out to OpenDP looking to hire a consultant for 6 months to test the OpenDP libraries with their microdata. Read more about the project and challenges due to the particular structure of humanitarian data and how Nitin Kohli (UC Berkeley) found success experimenting with a new approach of using existing OpenDP libraries….

Continuing the Conversation: Mayana Pereira’s presentation and tutorial on Enhancing Open Data for Social Good

In this post, we will show a simple tutorial describing the process of adding differential privacy to the United States Broadband Usage Percentages Dataset. The tutorial will go through all steps of a data release project, from defining all data aggregations and computations in a non-private setting and identifying the points in the pipeline where data transformations, such as clamping, are necessary, all the way to implementing the data pipeline with the appropriate differential privacy mechanism using OpenDP….

How OpenDP and PySyft ensured user privacy for the Christchurch Call report

A recent publication of a comprehensive technical report marking the completion of Phase 1 of the Christchurch Call Initiative on Algorithmic Outcomes (CCIAO) was announced last month which highlights advancements in AI Auditing and safety, allowing external researchers to conduct privacy-preserving audits of production recommender algorithms at LinkedIn and Daily Motion using PySyft and OpenDP….

OpenDP Use Case Q&A w/ Oblivious

Welcome to the OpenDP use case Q&A series, where we explore how our collaborators in the community are using and integrating OpenDP in their work. First up, we have Oblivious and we’ll be chatting with Jack Fitzsimons to learn about all the great work they’re doing in the PETs community. Q: Why don’t you start…

OpenDP Team Discussion with Red Hat

Dear OpenDP Community, We are writing to share some interesting discussions between the OpenDP team and Red Hat.  James Honaker and Mercè Crosas discussed the importance of data sharing and privacy preservation, in both scientific and computer technology domains, with Sherard Griffin, Director at Red Hat in the AI Center of Excellence, in Red Hat’s Regional…

Update on the OpenDP-Microsoft Collaboration

Gary King, OpenDP Faculty Co-Director In September 2019, Harvard’s Institute for Quantitative Social Science announced a large-scale collaboration with Microsoft to develop open source tools for differential privacy, work that is now part of the broader OpenDP community effort. We are thrilled to report on the progress our collaboration has made, and we write today…