Understanding Aggregate Trends for Apple Intelligence Using Differential Privacy

At Apple, we believe privacy is a fundamental human right. And we believe in giving our users a great experience while protecting their privacy. 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 improve them, while protecting user privacy by preventing Apple from seeing individual-level data from those users. This same need to understand usage while protecting privacy is also present in Apple Intelligence. One of our principles is that Apple does not use our users' private personal data or user interactions when training our foundation models, and, for content publicly available on the internet, we apply filters to remove personally identifiable information like social security and credit card numbers. 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 A ... Read full article.