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Deep Learning is basically doing lots of addition and multiplication; We have algorithms that allow these operations on encrypted data, without the need to decr
by pmalynin 10y ago
Deep Learning is basically doing lots of addition and multiplication; We have algorithms that allow these operations on encrypted data, without the need to decrypt the data nor to have the key to decrypt the data. So by combining the two things we can do deep learning on homomorphically encrypted data and learn meaningful things without ever looking at what the data actually is.
- Filligree 10y agoWhich has applications in human society. Using it for an attempt at AI safety, however, seems... A tad optimistic. It's basically just a fancy AI-box, and there's little reason to trust those.
- williamtrask 10y agoI agree. IP protection and data privacy issues are a better short-term use case... and fortunately we have some time to make better HE algos before any of our AIs are really getting that smart. :)
- mrkgnao 10y agoYes, but what this is is encrypting the network instead of the data. This way, when we improve the network iteratively to reduce predictive error, we can perform all the relevant calculations homomorphically.