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  1. Apple launched differential privacy for the first time in macOS Sierra and iOS 10. Since then, we have expanded to other use cases such as Safari and Health types.

  2. Learning with Privacy at Scale - Apple Machine Learning Research

    Dec 6, 2017 · In this article, we have presented a novel learning system architecture, which leverages local differential privacy and combines it with privacy best practices.

  3. Understanding Aggregate Trends for Apple Intelligence Using ...

    Apr 14, 2025 · In this post, we’ll share how we’re developing new techniques that enable Apple to discover usage trends and aggregated insights to improve features powered by Apple Intelligence, …

  4. Learning Iconic Scenes with Differential Privacy - Apple Machine ...

    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 identifiable data …

  5. In this paper, we describe a system architecture that combines differential privacy and privacy best practices to learn from a user population addressing both privacy and practical deployment concerns.

  6. Element Level Differential Privacy: The Right Granularity of Privacy ...

    To address this, we propose element level differential privacy, which extends differential privacy to provide protection against leaking information about any particular “element” a user has, allowing …

  7. How to enable differential privacy in iOS… - Apple Community

    Sep 13, 2016 · Differential privacy is used if you opt-in to sending diagnostics and usage data, to Apple or to App Developers, as evidenced by the text mentioning differential privacy in the "About …

  8. How to enable differential privacy in iOS… - Apple Community

    Sep 14, 2016 · Hello team, can anyone tell me how to enable differential privacy in iOS 10? iPod touch, iOS 10, 6th generation

  9. Apple Workshop on Privacy-Preserving Machine Learning 2025

    Aug 12, 2025 · This two-day hybrid event brought together Apple and members of the broader research community to discuss the state of the art in PPML, focusing on four key areas: Private Learning and …

  10. Apple Workshop on Privacy-Preserving Machine Learning 2024

    Aug 29, 2024 · We design efficient and scalable differentially private algorithms and provide rigorous analyses to demonstrate the tradeoffs among utility, privacy, server computation, and device …