List of implementations of differentially private analyses
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Since the advent of differential privacy, a number of systems supporting differentially private data analyses have been implemented and deployed. This article tracks real-world deployments, production software packages, and research prototypes.
Real-world deployments
| Name | Organization | Year Introduced | Notes | Still in use? |
|---|---|---|---|---|
| OnTheMap: Interactive tool for exploration of US income and commute patterns.[1][2] | US Census Bureau | 2008 | First deployment of differential privacy | Yes |
| RAPPOR in Chrome Browser to collect security metrics[3][4] | 2014 | First widespread use of local differential privacy | No | |
| Emoji analytics; analytics. Improve: QuickType, emoji; Spotlight deep link suggestions; Lookup Hints in Notes. Emoji suggestions, health type usage estimates, Safari energy drain statistics, Autoplay intent detection (also in Safari)[5] | Apple | 2017 | Yes | |
| Application telemetry[6] | Microsoft | 2017 | Application usage statistics Microsoft Windows. | yes |
| Flex: A SQL-based system developed for internal Uber analytics[7][8] | Uber | 2017 | Unknown | |
| 2020 Census[9] | US Census Bureau | 2018 | Yes | |
| Audience Engagement API[10] | 2020 | Yes | ||
| Labor Market Insights[11] | 2020 | Yes | ||
| COVID-19 Community Mobility Reports[12] | 2020 | Unknown | ||
| Advertiser Queries[13] | 2020 | |||
| U.S. Broadband Coverage Data Set[14] | Microsoft | 2021 | Unknown | |
| College Scorecard Website | IRS and Dept. of Education | 2021 | Unknown | |
| Ohm Connect[15] | Recurve | 2021 | ||
| Live Birth Dataset[16][17] | Israeli Ministry of Health | 2024 | Yes |
Production software packages
These software packages purport to be usable in production systems. They are split in two categories: those focused on answering statistical queries with differential privacy, and those focused on training machine learning models with differential privacy.
Statistical analyses
| Name | Developer | Year Introduced | Notes | Still maintained? |
|---|---|---|---|---|
| Google's differential privacy libraries[18] | 2019 | Building block libraries in Go, C++, and Java; end-to-end framework in Go,.[19] | Yes | |
| OpenDP[20] | Harvard, Microsoft | 2020 | Core library in Rust,[21] SDK in Python with an SQL interface. | Yes |
| Tumult Analytics[22] | Tumult Labs[23] | 2022 | Python library, running on Apache Spark. | Yes |
| PipelineDP[24] | Google, OpenMined[25] | 2022 | Python library, running on Apache Spark, Apache Beam, or locally. | Yes |
| PSI (Ψ): A Private data Sharing Interface | Harvard University Privacy Tools Project.[26] | 2016 | No | |
| TopDown Algorithm[27] | United States Census Bureau | 2020 | Production code used in the 2020 US Census. | No |
Machine learning
Research projects and prototypes
More information 
...
...| Name | Citation | Year Published | Notes |
|---|---|---|---|
| PINQ: An API implemented in C#. | [33] | 2010 | |
| Airavat: A MapReduce-based system implemented in Java hardened with SELinux-like access control. | [34] | 2010 | |
| Fuzz: Time-constant implementation in Caml Light of a domain-specific language. | [35] | 2011 | |
| GUPT: Implementation of the sample-and-aggregate framework. | [36] | 2012 | |
| KTELO: A framework and system for answering linear counting queries. | [37] | 2018 |