OpenDP Attacks Working Group Data privacy is a growing concern for data stewards and system developers who wish to share data with analysts while protecting the privacy of individuals represented in datasets. However, it is often unclear what protections are needed to safeguard data subjects’ sensitive information. To build state-of-the-art privacy systems, it is important…
We are thrilled to announce that applications are now open for the OpenDP Summer Program! We have opportunities available for undergraduates, graduate students, and established professionals in industry and academia. I’m an undergraduate student and I want to work on an OpenDP project. Apply to join us as a summer intern! You’ll work side-by-side with…
At the Eyes-Off Data Summit and the 2025 OpenDP Community Meeting, we and collaborators announced the launch of the Differential Privacy Deployments Registry—a public-facing repository of real-world differential privacy deployments. The registry will give practitioners an opportunity to share details of their deployments and observe others’ choices, ideally spurring the formation of best practices for…
We’ve spent some time this fall on features in DP Wizard designed particularly for research data repository users. One common challenge is having data which contains personal data, which can’t be released verbatim, but should still be summarized. Differential privacy could be used to generate aggregate statistics, but for reproducible research, the steps in the…
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…
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!…
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….
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….
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…
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!…
