7 comments

  • sabretooth1405 8 minutes ago
    My 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.
    • Cider9986 3 minutes ago
      [delayed]
      • Deukhoofd 19 minutes ago
        It sounds neat, but I do wonder how viable this is commercially. How high do we rate the chances that governments around the world will step in before another kind of E2E is rolled out.
      • LoganDark 20 minutes ago
        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).
        • noman-land 4 minutes ago
          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.
        • noident 34 minutes ago
          Does this rely on the Trust Me Bro model, or is there some way for the client to verify that the provider actually isn't able to see your inputs?

          I want to read a whitepaper but all I can find is the tl;dw conference presentation

          • eslaught 27 minutes ago
            The linked project page [1] claims to be fully homomorphic. Assuming the claim holds (I haven't verified it), then there is provably no way for Google or anyone else to obtain any information from the encrypted data or computation performed on them.

            FHE is traditionally horrifically slow, so it's hard to imagine running anything beyond toy models with it. They list some applications on the original article page, but (presumably) they must be dramatically stripped down in order to run within any reasonable time budget. This is not going to run anything like a Sol/Opus any time soon.

            [1]: https://heir.dev/

            • boilerupnc 3 minutes ago
              Related, I'd seen this blog [0] posted on HN a few years back that gave a nice run down on the "programmable cryptography" space which introduce FHE and a few other neat concepts. Really enjoyed the read and learned some new terms.

              [0] https://0xparc.org/blog/programmable-cryptography-1

            • FloatArtifact 1 hour ago
              Encryption or not, if it's on somebody else's server, it isn't yours. I don't believe Google has my best interest.
              • kccqzy 4 minutes ago
                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.

                • u1hcw9nx 1 hour ago
                  With Fully Homomorphic Encryption it's nobody elses.

                  The basic idea of of the project is to remove the need for trust.

                  • unsungNovelty 40 minutes ago
                    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.
                    • Plont 10 minutes ago
                      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.

                      • throwaway27448 11 minutes ago
                        There's more to life than branding.
                        • tonyhart7 10 minutes ago
                          so what's the option ??? Meta ?? xAi ?? or OpenAI ???
                          • unsungNovelty 1 minute ago
                            Why should there by any reason to look at the above ones? We are talking about this B2C company which effects a lot of our lives. The discussion isn't about that or this. The discussion is about JUST this specific company.
                        • thih9 31 minutes ago
                          To what end?
                        • krunck 36 minutes ago
                          It's FHE for "cryptographically-secure private AI inference" not for every other service where they snoop into your behavioral information.
                        • filup 9 minutes ago
                          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.

                          • pluto_modadic 5 minutes ago
                            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)
                            • drdeca 4 minutes ago
                              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.)