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My hope is that Apple will continue research on privacy-protecting and privacy-enhancing machine learning, because out of all the big tech companies using machine learning, they may just be the only ones to do that. Some random research for privacy technologies may come out of Google, too, but they are much less likely to actually use them at scale, especially if they conflict with ad revenue.


Actually Microsoft has been publishing a lot on privacy enhancing Machine Learning too.

For instance:

https://www.microsoft.com/en-us/research/publication/crypton...

https://www.microsoft.com/en-us/research/publication/private...

https://youtu.be/xsaXMUelOEA

As for Apple: seeing is believing.


And Google started publishing on differential privacy in 2014, way before Apple used WWDC's marketing to paint themselves as the only ones using it.


Genuinely curious, where does google actually use differential privacy?


Chrome telemetry is one example I know of: https://www.chromium.org/developers/design-documents/rappor


Very related to differential privacy: https://research.googleblog.com/2015/08/the-reusable-holdout... (together with IBM and Samsung)


Can you quote specifically where they said they were the only ones doing it?

I watched that presentation and I don't recall them claiming to be the only ones using differential privacy.


Which is why I used "paint", not "said". Not that I expect a company to explicitly say in their big day that others were already doing it, of course.

But my impression from the presentation, as someone who had never heard of differential privacy before, was that this was brand new research from some professor, which they contracted to help them apply it to the real world. Definitely not "this is a technology that's used to achieve such and such, this is how it works".


MSR researchers essentially invented differential privacy, so...




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