Invention Grant
- Patent Title: Method for verifying convolutional neural network model and device thereof
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Application No.: US17323351Application Date: 2021-05-18
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Publication No.: US11886785B2Publication Date: 2024-01-30
- Inventor: Hyunok Oh , Hankyung Ko , Jihye Kim , Seunghwa Lee
- Applicant: IUCF-HYU (Industry-University Cooperation Foundation Hanyang University) , Kookmin University Industry Academy Cooperation Foundation
- Applicant Address: KR Seoul
- Assignee: IUCF-HYU (Industry-University Cooperation Foundation Hanyang University),Kookmin University Industry Academy Cooperation Foundation
- Current Assignee: IUCF-HYU (Industry-University Cooperation Foundation Hanyang University),Kookmin University Industry Academy Cooperation Foundation
- Current Assignee Address: KR Seoul; KR Seoul
- Agency: NKL LAW
- Agent Jae Youn Kim
- Priority: KR 20200079745 2020.06.30 KR 20200172335 2020.12.10
- Main IPC: G06F30/30
- IPC: G06F30/30 ; G06F30/33 ; G06N3/04

Abstract:
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.
Public/Granted literature
- US20210406436A1 METHOD FOR VERIFYING CONVOLUTIONAL NEURAL NETWORK MODEL AND DEVICE THEREOF Public/Granted day:2021-12-30
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