Grafhen: Group-Based Homomorphic Encryption Without Noise

arxiv.org

Their company website also has shorter descriptions of the scheme for people with varying amounts of background knowledge: https://raveltech.io/

The implementation doesn't appear to be public, but their GitHub strongly suggests that the commercial application they have in mind is privacy-preserving bidding on ads: https://github.com/raveltech

I hadn't done a ton of research on them but I skimmed their paper. That's a really cool find. I'm curious to see how it compares to TikTok's suite of 2PC protocols for advertising measurement and Google's use of TEEs for ad auctions.

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