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Google is making private AI practical with homomorphic encryption

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11–20 of 305 posts

Re: Google is making private AI practical with homomorphic encryption

#11
post #3

Earlier quoted context omitted.

With Fully Homomorphic Encryption it's nobody elses. The basic idea of of the project is to remove the need for trust.

It's google. They are good at engineering. Not at creating trust. After the bizillionth time they have broken trust, there is no need for benefit of the doubt.

There's more to life than branding.

Re: Google is making private AI practical with homomorphic encryption

#13
post #3

Earlier quoted context omitted.

With Fully Homomorphic Encryption it's nobody elses. The basic idea of of the project is to remove the need for trust.

It's google. They are good at engineering. Not at creating trust. After the bizillionth time they have broken trust, there is no need for benefit of the doubt.

Yeah. Google is an ad business. Their entire motive for getting invested in AI is ad revenue. We're supposed to believe they just... won't turn on the money fountain? After going into the red for their data center investments? Hell nah.

I'd expect this to be something like the Google Ad ID: technically separated from what Google considers personal information, but trivially easy to tie back to an individual person and to other information about that person.

They're continually breaking trust by illegally scraping up the internet to feed to their plagiarism machine, which they are now asking us to trust with more data. It's not a compelling arguement.

Re: Google is making private AI practical with homomorphic encryption

#14
post #3

Earlier quoted context omitted.

With Fully Homomorphic Encryption it's nobody elses. The basic idea of of the project is to remove the need for trust.

It's google. They are good at engineering. Not at creating trust. After the bizillionth time they have broken trust, there is no need for benefit of the doubt.

so what's the option ??? Meta ?? xAi ?? or OpenAI ???

Re: Google is making private AI practical with homomorphic encryption

#15
Proper encryption means the ciphertext is indistinguishable from noise. So...in order to be able to process on it, you have to make it not indistinguishable from noise.

So I take offense to the term FHE. It's a oxymoron.

The whole thing immidiatly stands out as a sham to build trust where it's gone.

Re: Google is making private AI practical with homomorphic encryption

#17
post #15

Proper encryption means the ciphertext is indistinguishable from noise. So...in order to be able to process on it, you have to make it not indistinguishable from noise. So I take offense to the term FHE. It's a oxymoron. The whole thing immidiatly stands out as a sham to build trust where it's gone.

they could have gone with an oblivious transfer approach (where it's working on what looks like multiple problems at once, you don't know which)

Re: Google is making private AI practical with homomorphic encryption

#18

Encryption or not, if it's on somebody else's server, it isn't yours. I don't believe Google has my best interest.

This kind of attitude is really disrespectful of decades of progress in cryptography. Without even considering homomorphic encryption, classic encryption is specifically designed to make intermediate nodes such as ISP dumb pipes that do not know the contents of communication. The ISP can store your communications on their server however they want.

If you don’t agree with this model, I’m afraid modern cryptography doesn’t have anything to offer.

Re: Google is making private AI practical with homomorphic encryption

#19

One flaw with FHE is that it guarantees only that you need the key to see the inputs or outputs of the computation, but not necessarily that the computation is the one you want. For example, the computation could be adversarial for certain inputs, or an adversary could insert their own computation first (or last).

100% not an expert but my understanding was that part of what you are proving by signing the computation is that the computation itself was performed specifically as agreed to. I may be mixing this up with zero knowledge proofs.

Re: Google is making private AI practical with homomorphic encryption

#20
post #15

Proper encryption means the ciphertext is indistinguishable from noise. So...in order to be able to process on it, you have to make it not indistinguishable from noise. So I take offense to the term FHE. It's a oxymoron. The whole thing immidiatly stands out as a sham to build trust where it's gone.

Eh? With secret sharing one can do computation on a shared secret where it is provable that no individual party can recover any information about the data with their share alone.

I don’t see why you conclude that FHE couldn’t be close to as secure as that. (Like, not information theoretically, but with computationally bounded adversaries.)

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