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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…
These most-frequently selected synthetic embeddings can then be used to generate training or testing data, or we can run additional curation steps to further refine the dataset. As a result of these protections, Apple can construct synthetic data that is reflective of aggregate trends, without ever collecting or reading any user email content. As we continue to advance the state of the art in machine learning and AI to enhance our product experiences, we remain committed to developing and implementing cutting-edge techniques to protect user privacy.
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