Today, we’re happy to announce that OpenDP is taking over the maintenance and further development of Tumult Labs’ open-source software! Tumult’s libraries are based on a similar programming framework as OpenDP, and set a high bar for correctness and robustness, so joining efforts is a natural fit. A few former employees of Tumult Labs have…
2025 OpenDP Community Meeting Recap
Read on to catch up with the highlights of the 2025 OpenDP Community Meeting and find out how you can get involved with our community!…
Announcing DP Wizard v0.5
Complementing the v0.14 release of the OpenDP Library, we’d also like to announce v0.5 of DP Wizard, a user interface that makes it easier to get started with differential privacy….
Announcing OpenDP Library 0.14
We’re happy to announce v0.14 of the OpenDP Library!
This release has a number of features that make common analyses easier and more idiomatic, including identifier truncation, synthetic data generation, and linear regression, as well as enhancements to the framework like odometers and additions to the suite of core differentially private mechanisms….
2025 Interns and Fellows Program: Summer Recap
This summer marked the fifth year of the OpenDP Interns and Fellows Program! We received a record number of applications this year, and in June we welcomed three interns and two fellows. Our internship program offers a summer of research and mentorship for students interested in implementing differential privacy. Guided by OpenDP’s vision, we match…
Announcing OpenDP Library 0.13 and DP Wizard
You’ll find new features in the 0.13 release and an update for DP Wizard in the details below. The OpenDP library and DP Wizard are improved with your feedback and contributions, so please check out these tools and let us know what you think via our slack channel or emailing us directly at info@opendp.org!…
Reflections from the Differential Privacy Beyond Algorithms Workshop
The Differential Privacy Beyond Algorithms Workshop took place at the OpenDP Community Meeting with the goal to bring together participants thinking about aspects of DP deployments beyond algorithms and technical tools. Read the full recap in the blog and get involved in the community!…
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….
Q&A with Simson Garfinkel, author of upcoming book Differential Privacy
We are excited to spotlight the work of Simson Garfinkel and announce his upcoming book, Differential Privacy! Simson researches and writes at the intersection of AI, privacy, and digital forensics….
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….