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Google is making private AI practical with homomorphic encryption
121–130 of 305 posts
Re: Google is making private AI practical with homomorphic encryption
#122Why is Homomorphic Encryption necessary at all? The article seems to lose the plot in the process of tooting their own horn.
Re: Google is making private AI practical with homomorphic encryption
#123Earlier quoted context omitted.
That's the reason for HEIR like optimization and parameter selection. It narrows the 10^3 - 10^6 penalty to 10x - 100x.
Which seems massively worse than a real local device in fact 2x is probably untenable to the point of uselessness because actually privacy sensitive matters need actual privacy that can't be defeated by your government telling Google to serve you compromised js and spy on you anyway and most people don't give 2 shits about privacy so they won't pay 10% more let alone 2x. I'm glad people fund things that are only of i…
I think you have completely wrong use cases in mind. You will not use this for normal compute workloads.
Typical use cases are for doing biometric authentication without giving your biometric information, or sensitive queries using medical information. Apple has homomorphic encryption in image search. You can use your own photos encrypted into the cloud to search for landmarks in the image without revealing photos.
People can also coordinate and compare information without sharing sensitive data.
Re: Google is making private AI practical with homomorphic encryption
#124Great, private AI, at the cost of >1000x the resource usage. Because apparently AI companies weren't already using quite enough energy to cook the planet. The most private AI is the one running on my own hardware, not in some giant data center.
where does this factor "1000x" come from? I have doubts.
Yeah, I have doubts too. It's much higher than that.
Re: Google is making private AI practical with homomorphic encryption
#125Earlier quoted context omitted.
You are very wrong about all of this btw.
You literally don’t know who I am or the roles I had. So unless you can tell me how many steps you were from Kent Walker and what you worked on I’m gonna bet a hell of a lot I know more than you. Edit to clarify my prior point: some of the technology makes it into the product, but the putative data protections do not. Why? Because there is always a work around, and ads legal will approve it every time.
yeah and I'm a Navy seal with over 300 confirmed kills etc.
Re: Google is making private AI practical with homomorphic encryption
#126My master's thesis is on a topic in this field (Privacy Preserving ML) and from my understanding HE and other techniques have very high overheads(~10^3) on inference tasks and thus aren't very commercially viable.
To throw out some real and up-to-date numbers from [1] for FHE at "128-bit security level", to sort 8x 8-bit unsigned integers on the most ordinary of desktop PCs, wait 3 seconds for the result. Want to sort 32x 8-bit unsigned integers instead? Come back 34 seconds later for the result. update: also see [2] for some primitive unsigned 64-bit integer operation benchmarks with the TFHE-rs library (winner in the sorting…
That is sobering for sure, I wonder what the theoretical bounds are on what is possible if known. Would be such a dream to use a Frontier LLM one day with homomorphic encryption, but this sounds wildly implausible based on where things are today.
Re: Google is making private AI practical with homomorphic encryption
#127Earlier quoted context omitted.
F. Scott Fitzgerald's test of top-tier intelligence - > Holding two opposing views in the mind means accepting two contradictory ideas at the same time without needing to pick one side or rush to a simple answer I continue to use Apple products because they are top class even though everytime I think of Tim Cook in the Oval Office presenting the gold plaque to the current president, it makes me wanna puke. World isnt…
[flagged]
> This is generally the test of extreme stupidity because those so adept rarely realize there is even a contradiction because they lack in critical thinking.
> You can separate Cook is a garbage person
We've banned this account.
We've asked you politely, several times over the years to observe the guidelines. In recent times you've been acting more than ever like they don't apply to you. They do apply to you just as they apply to everyone and it's time we made that clear.
In this case, someone has raised the notion that sometimes someone can hold two legitimate positions that are contradictory, which, as the original commenter mentioned, is attributable to F. Scott Fitzgerald but has been noted in different ways by many reputable philosophers and scholars through history. In your reply, you've effectively sneered at anyone who wrestles with such contradictions, including the parent commenter, then gone on to use the term “garbage person” for another human.
Other terms you've used in past months include:
most humans are dumber than a box of rocks
literally not figuratively the 1930s Nazis
fools
idiots
morons
cretins
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Re: Google is making private AI practical with homomorphic encryption
#128Earlier quoted context omitted.
To throw out some real and up-to-date numbers from [1] for FHE at "128-bit security level", to sort 8x 8-bit unsigned integers on the most ordinary of desktop PCs, wait 3 seconds for the result. Want to sort 32x 8-bit unsigned integers instead? Come back 34 seconds later for the result. update: also see [2] for some primitive unsigned 64-bit integer operation benchmarks with the TFHE-rs library (winner in the sorting…
Benchmarking code in repo: https://github.com/google/heir/tree/main/benchmark Project intro talk from 2023: https://www.youtube.com/watch?v=kqDFdKUTNA4
The first link has a misleading name. Instead use these two links for a better picture:
https://github.com/google/fully-homomorphic-encryption/tree/...
Re: Google is making private AI practical with homomorphic encryption
#129> Google’s history of innovations in privacy technology
Ah yes, their history of innovations! Thanks to Gemini for making a list for me over at https://share.gemini.google/vx9lE5dEJ1L7
The list contains more than 6 chapters with multiple entries each.
Google has truly been very innovative in destroying privacy online.
Re: Google is making private AI practical with homomorphic encryption
#130My master's thesis is on a topic in this field (Privacy Preserving ML) and from my understanding HE and other techniques have very high overheads(~10^3) on inference tasks and thus aren't very commercially viable.
The one that I'm waiting for is a women's period tracking app that uses FHE on the backend to be fully private.