Google Advances Privacy-Preserving AI Using Homomorphic Encryption

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Google has published details on its efforts to make private AI more practical through homomorphic encryption (HE), a cryptographic technique that allows computations to be performed on encrypted data without decrypting it. The approach aims to enable AI models to process sensitive user data while keeping it fully private throughout the computation. Google's work focuses on reducing the significant performance overhead that has historically made homomorphic encryption impractical for real-world AI applications. The development represents a step toward deploying AI services where user data never needs to be exposed, even to the service provider.

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