Researchers achieve encrypted CIFAR-10 image inference in just 200 milliseconds

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A team at Belfort Labs has demonstrated homomorphic encryption applied to image classification inference on the CIFAR-10 dataset. The system processes encrypted data without ever decrypting it, completing inference in approximately 200 milliseconds. Homomorphic encryption allows computations to be performed directly on encrypted data, preserving privacy throughout the process. The achievement is notable as such operations have historically been computationally expensive and slow. The project has drawn early attention in the machine learning and cryptography communities.

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