公开(公告)号：US11886785B2

公开(公告)日：2024-01-30

申请号：US17323351

申请日：2021-05-18

申请人： IUCF-HYU (Industry-University Cooperation Foundation Hanyang University) ,  Kookmin University Industry Academy Cooperation Foundation

发明人： Hyunok Oh ,  Hankyung Ko ,  Jihye Kim ,  Seunghwa Lee

IPC分类号： G06F30/30 ,  G06F30/33 ,  G06N3/04

CPC分类号： G06F30/33 ,  G06N3/04

摘要： Disclosed are a method for verifying a convolutional neural network model and a device thereof. The method for verifying the convolutional neural network model includes (a) generating a polynomial circuit equation for a first configuration of a plurality of configurations configuring the convolutional neural network model; (b) generating a first commitment value and a first proof value by applying a zero-knowledge proof scheme based on the polynomial circuit equation; (c) generating an arithmetic circuit equation for a second configuration of the plurality of configurations; (d) generating a second commitment value and a second proof value by applying a zero-knowledge proof scheme based on the arithmetic circuit equation; and (e) generating a connection proof value connecting the first commitment value and the second commitment value.