5 ms·
The technology for all this progress was a huge discovery in 2009. But what if it is a dead end, that nothing originating from that discovery will ever be pract
by doctorpangloss 7y ago
The technology for all this progress was a huge discovery in 2009. But what if it is a dead end, that nothing originating from that discovery will ever be practical?
Like wouldn't it be preposterous if someone said, "Here Craig Gentry, take $1 billion to run enough computers for the current FHE schemes. What is the snazziest demo you can run?"
- rhindi 7y agoSome of the newer schemes are much faster. The recent progress feels like deep learning in 2010, right before everyone realized it worked
- poz 7y ago> The recent progress feels like deep learning in 2010, right before everyone realized it worked Does it work, though?
- throwawaywego 7y agohttps://www.microsoft.com/en-us/research/publication/cryptonets-applying-neural-networks-to-encrypted-data-with-high-throughput-and-accuracy/ https://www.microsoft.com/en-us/research/publication/crypton... (2016) > We demonstrate CryptoNets on the MNIST optical character recognition tasks. CryptoNets achieve 99% accuracy and can make more than 51000 predictions per hour on a single PC. Therefore, they allow high throughput, accurate, and private predictions.
- rhindi 7y agoIt’s starting to, yes, in particular for machine learning. There is a yearly competition called iDash where people show the performances of their homomorphic schemes. This year should be very interesting
- rhacker 7y agoIf they keep that name it will be a dead end.
- rolltiide 7y agoThat’s life It will join the graveyard of technologies was that rhetorical?
- UncleMeat 7y agoFHE isn't the only option. Somewhat Homomorphic Encryption can be fast and stupendously valuable for a lot of statistical operations where you can figure out how to compute your function off only a small number of multiplications.