The differential privacy technology used by Apple is rooted in the idea that statistical noise that is slightly biased can mask a user’s individual data before it is shared with Apple.

Apr 14, 2025 · For years, we’ve used techniques like differential privacy as part of our opt-in device analytics program. This lets us gain insights into how our products are used, so we can …

Dec 6, 2017 · In iOS 11 and macOS High Sierra, Safari can automatically detect these exceptional domains and report them using differential privacy. Using our algorithms, we are …

Jul 21, 2023 · In this article, we share how we apply differential privacy (DP) to learn about the kinds of photos people take at frequently visited locations (iconic scenes) without personally …

Oct 24, 2024 · Identifying the database shard relevant to the query could reveal sensitive information about the query itself, so we use differential privacy (DP) with OHTTP relay — …

Using differential privacy, we are able to successfully identify an up-to-date set of websites for which most users prefer auto-play with sound worldwide, such as streaming services including …

We also use techniques like Differential Privacy to improve user experiences while protecting the information you share with Apple. Differential Privacy adds random information to your data …

Jul 21, 2023 · In this article, we share how we apply differential privacy (DP) to learn about the kinds of photos people take at frequently visited locations (iconic scenes) without personally …

Starting with iOS 14, iPadOS 14, and watchOS 7, you can choose whether apps can see your approximate location — within an area of about 10 square miles — rather than your exact …

Tools such as on-device machine learning, Core ML, and Apple’s differential privacy frameworks allow teams to deliver adaptive app behavior without transferring sensitive data off the device.