Viewing profile — rhindi
rhindi
HN member- Joined
- Sun, Apr 22, 2012, 12:07 AM UTC
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- 137
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- 57 items
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About rhindi
Recent public activity
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Comment #41117371
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 com…
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Comment #40337398
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 …
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Comment #38322874
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
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Comment #35850512
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 …
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Comment #33023245
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…
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Comment #33023150
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
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Comment #28354386
Have you considered using FHE for analyzing the photos encrypted?
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Comment #27518569
Yes, in practice however it makes a difference. Consider for example computing the ReLu function for a neural network: - With boolean circuits you need to run dozens of boolean gat…
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Comment #27513390
It's really great to see more big companies getting into this game, ease of adoption is really the key here. When it comes to FHE, there are 3 underlying paradigms you can target w…
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Comment #27512285
If it helps, we did a mini site to explain FHE: https://6min.zama.ai
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Comment #26795720
8 bit is definitely doable today, fast There are basically 2 strategies: - do fast operations, with a limit on how many you can do. This is called Leveled Homomorphic Encryption, w…
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Comment #26781403
Homomorphic encryption, which enables you to process data without decrypting it. Would solve privacy / data security issues around sending data to be processed in the cloud
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Comment #25032609
Just dual license your code with an AGPL and commercial license. Proprietary software companies hate AGPL, and won’t take the risk to use it, instead preferring to pay your commerc…
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Comment #24828994
Nice overview! A few comments: - homomorphic encryption is much much faster now, so the latency argument against won’t hold much longer - with multi-key FHE, you could replace MPC,…