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I just wrote an article on the current practicality of using Homomorphic Encryption (HE) for neural network inference.

There’s plenty of AI-generated slop online about how HE is going to revolutionise AI, but I couldn’t find any posts that explain where it is currently at, with examples.

Let me know what you think!