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Encrypted face recognition just got a whole lot faster and cheaper, shrinking memory needs by 91% and achieving sub-second latency on GPUs.
Finally, a way to verify that privacy-preserving noise was actually applied in outsourced machine learning computations, using zero-knowledge proofs.