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

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.mi…

Check their board of directors -- all very smart and established people. A former tournament winner did well on both the public and private leaderboard. It is very difficult to do …

Because you don't have capital, risk-adversity, and access to the (expensive) dataset. You only have encrypted predictions, which are worthless for you.

You don't really need to know what the features mean to make a good model. Even if only you knew the meaning of the features you'd still get beaten by someone using a blackbox appr…