METHOD, DEVICE, AND PROGRAM PRODUCT FOR INFERENCE

Abstract: embodiments of the present disclosure relate to a method, a device, and a computer program product for inference. the method includes determining, for a layer in a neural network model, whether a weight matrix of the layer is an irreversible target matrix. the method further includes partitioning, in response to determining that the weight matrix of the layer is the target matrix, the neural network model into a first part and a second part, wherein the first part includes the layer and a previous layer before the layer and is deployed inside a security space, and the second part includes a subsequent layer after the layer and is deployed outside the security space. the method further includes acquiring an inference result by using the partitioned neural network model based on encrypted inference data.

Inventor(s): Tianxiang Chen, Jinpeng Liu, Wenqing Peng, Zhen Jia

CPC Classification: H04L63/0435 ({for providing a confidential data exchange among entities communicating through data packet networks})

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