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公开(公告)号:US11113580B2
公开(公告)日:2021-09-07
申请号:US16731001
申请日:2019-12-30
Applicant: Industrial Technology Research Institute
Inventor: Jiung-Yao Huang , Hsin-Lung Wu , Juin-Ming Lu
Abstract: An image classification system includes a storage device, a computing device and a first processing device. The storage device stores a plurality of pseudo-centroid datasets, wherein the pseudo-centroid datasets correspond to a plurality of units of first image dataset, and the number of pseudo-centroid data points of each of the pseudo-centroid datasets is much smaller than the number of data points of each of the units of first image dataset. The computing device receives the second image data and computes a plurality of feature values of the second image data. The first processing device receives the feature values and the pseudo-centroid datasets, and compares the feature values with the pseudo-centroid data points to identify and classify the second image data.
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公开(公告)号:US12021986B2
公开(公告)日:2024-06-25
申请号:US17562700
申请日:2021-12-27
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Ming-Chih Tung , Hsin-Lung Wu , Juin-Ming Lu , Bo-Xuan Zhu
Abstract: A neural network (NN) processing method is provided. An AI (artificial intelligence) compiler code of an AI compiler is transformed to a garbled circuit code by performing following steps. A circuit graph of a garbled circuit having logic gates corresponding to the garbled circuit code is sent to an electrical device by a server. Key codebooks for candidate gates corresponding to each logic gate are creating by the electrical device. Garbled truth tables for the candidate gates corresponding to each logic pate are generated and transmitted to the server by the electrical device through using OT (Oblivious Transfer) protocol. A target garbled truth table of each logic gate is generated by the server. Afterward, an NN model is encrypted according to the key codebooks by the electrical device and a compiled NN model of an encrypted NN model are generated by the server.
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