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According to this post on Apple's Machine Learning blog, yes, Wally is the method used for this feature. https://machinelearning.apple.com/research/homomorphic
by aeontech 2y ago
According to this post on Apple's Machine Learning blog, yes, Wally is the method used for this feature.
https://machinelearning.apple.com/research/homomorphic-encryption https://machinelearning.apple.com/research/homomorphic-encry...
- vrtx0 2y agoThank you! This is exactly the information the OP seems to have missed. It seems to confirm my suspicion that the author’s concerns about server-side privacy are unfounded — I think: > The client decrypts the reply to its PNNS query, which may contain multiple candidate landmarks. A specialized, lightweight on-device reranking model then predicts the best candidate… [please correct me if I missed anything — this used to be my field, but I’ve been disabled for 10 years now, so grain of salt]
- chikere232 2y agoThe devil is in the proprietary details though.
- vrtx0 2y agoSorry, what do you mean by “proprietary details”?
- sbuk 2y agoThey are alluding to the fact that the implementation is closed source, and therefore "untrustworthy". It's a trite point, of course, but not without some merit.
- vrtx0 2y agoI don’t see any merit, honestly. That would assume one is able to audit every bit of code they run, including updates, and control the build system. I mean, the Wally paper contains enough information to effectively implement homomorphic encryption for similar purposes. The field was almost entirely academic ~12 years ago… I miss talking shop on HN. Comments like that are why we can’t have nice things.
- sbuk 2y agoI do agree that everything is politicized. I'd have liked to have seen an explanation for laypeople and perhaps the option being opt-in. To me, there is some merit in that stance. It is a side-note. It is a shame that we can't talk about these things openly without people getting offended because of it.