TechPrufer
Sign inGet started

Blogs›Google›Differential Privacy Systems

Differential Privacy Systems

Differential Privacy Systems

4
posts
2019–2024

Google's commitment to online safety and user privacy has evolved through the expansion of Differential Privacy systems. Early efforts focused on foundational research and internal applications of differential privacy techniques to protect user data while enabling aggregate analysis. Subsequent developments have seen the open-sourcing of libraries and tools, making differential privacy more accessible to developers and researchers. This evolution aims to create a safer online ecosystem by providing the largest application of differential privacy in the world spanning close to three billion devices, improving products like Google Home, Google Search on Android, and Messages. New releases include PipelineDP for Java Virtual Machine (JVM) called PipelineDP4j, and DP-Auditorium for auditing differentially private algorithms. These advancements aim to reduce the barrier to entry for developers and researchers, enabling more insights from smaller datasets and ensuring the integrity of privacy guarantees.

2024

Sharing our latest differential privacy milestones and advancements- Google Developers Blog

10/31/2024

Announces the largest application of differential privacy in the world (spanning close to three billion devices) to improve products like Google Home, Google Search on Android, and Messages. Details the 'shuffler' model research that enabled this scale. Releases PipelineDP for Java Virtual Machine (JVM) called PipelineDP4j, an evolution of joint work with OpenMined, to reduce the barrier for Java developers. Introduces new differential privacy algorithms powering Google Trends for greater insights into low-volume locales. Releases DP-Auditorium, a library for auditing differentially private algorithms without requiring access to internal properties of the application, which outperforms existing black-box access testers.

2022

Expanding access to Differential Privacy to create a safer online ecosystem- Google Developers Blog

1/28/2022

This post announces the expansion of access to Differential Privacy (DP) tools and libraries, making them more accessible to developers. It highlights the ongoing efforts to build a safer online ecosystem by enabling the use of DP for data analysis and product development. The post emphasizes the importance of DP in protecting user privacy while still allowing for valuable insights to be derived from data. It signifies a move towards broader adoption and integration of DP techniques within Google's products and services.

2021

How we’re helping developers with differential privacy- Google Developers Blog

1/28/2021

This post details how Google is helping developers implement differential privacy by open-sourcing libraries and providing guidance. It highlights the release of the differential privacy library for Java and C++, along with a new website with tutorials and examples. The post emphasizes the importance of differential privacy for protecting user data while enabling aggregate analysis and encourages developers to adopt these tools.

2019

Enabling developers and organizations to use differential privacy- Google Developers Blog

9/5/2019

This post announces the open-sourcing of differential privacy libraries and tools, making them more accessible to developers and researchers. It highlights the importance of differential privacy for protecting user data while enabling aggregate analysis and aims to foster a safer online ecosystem.