*That's an interesting term of art. Lots better than saying "we stuck some noise in your Apple box to make it harder to spy on you." Gaining insight into the overall user population is crucial to ...
In this work, we aim to develop a hardware-based technique to achieve differential privacy by design. In contrary to the conventional software-based noise generation and injection process, our design ...
Traditionally, companies have relied upon data masking, sometimes called de-identification, to protect data privacy. The basic idea is to remove all personally identifiable information (PII) from each ...
Joseph, Matthew, Jieming Mao, Seth Neel, and Aaron Leon Roth. "The Role of Interactivity in Local Differential Privacy." Proceedings of the IEEE Annual Symposium on ...
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Apple has added a new entry to its Machine Learning Journal with in-depth technical details about how it uses differential privacy to gather anonymous usage insights from devices like iPhones, iPads, ...
Hiding sensitive data in a sea of noise might have more value than encryption in some use cases. Here are the most likely differential privacy applications and their trade-offs. In the past, the ...
Apple is stepping up its artificial intelligence efforts in a bid to keep pace with rivals who have been driving full-throttle down a machine learning-powered AI superhighway, thanks to their liberal ...