rhindi
Joined 14 years ago
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137
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Apr 22
Entrepreneur in AI and Privacy.
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Comment · 2 years ago
They use BFV, which is an FHE scheme allowing a limited number of fast additions and multiplications (enough for their use case).
Zama uses TFHE, which allows any operation (eg comparisons) with unlimited depth.
So if you only need add/mul, BFV, BGV and CKKS are good options. For anything else, you better use TFHE
Comment · 2 years ago
There are some non-ML based approaches for ultra low field MRI that are starting to work: https://drive.google.com/file/d/1m7K1W--UOUecDPlm7KqFYzfkoew... . You can still add AI on top of course, but at least you get a better signal to noise ratio to start with!
Comment · 3 years ago
FHE in general is efficient enough for many applications now. You can see some benchmarks here: https://docs.zama.ai/tfhe-rs/getting-started/benchmarks
Comment · 3 years ago
We are planning several other blog posts to explain all the details.
In the meantime if you want a good introduction to the FHE scheme we use behind the scene, you can take a look here: https://www.zama.ai/post/tfhe-deep-dive-part-1
Comment · 4 years ago
Multiple teams are working on FHE smart contracts, including us, so it’s definitely happening. Adding ZK to the mix would be awesome for scalability and indeed to avoid replicating the FHE computation
Comment · 4 years ago
It’s much much faster now, and performance is improving 10x every couple of year. With the current trend, FHE will be applicable to 80% of usecases by 2025
Comment · 5 years ago
Have you considered using FHE for analyzing the photos encrypted?