Invention Grant
- Patent Title: Secure convolutional neural networks (CNN) accelerator
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Application No.: US15730316Application Date: 2017-10-11
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Publication No.: US10706349B2Publication Date: 2020-07-07
- Inventor: Mihir Narendra Mody , Veeramanikandan Raju , Chaitanya Ghone , Deepak Poddar
- Applicant: TEXAS INSTRUMENTS INCORPORATED
- Applicant Address: US TX Dallas
- Assignee: TEXAS INSTRUMENTS INCORPORATED
- Current Assignee: TEXAS INSTRUMENTS INCORPORATED
- Current Assignee Address: US TX Dallas
- Agent Ebby Abraham; Charles A. Brill; Frank D. Cimino
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@2fd6d9e8
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/08 ; H04L29/06

Abstract:
A Convolutional Neural Network (CNN) based-signal processing includes receiving of an encrypted output from a first layer of a multi-layer CNN data. The received encrypted output is subsequently decrypted to form a decrypted input to a second layer of the multi-layer CNN data. A convolution of the decrypted input with a corresponding decrypted weight may generate a second layer output, which may be encrypted and used as an encrypted input to a third layer of the multi-layer CNN data.
Public/Granted literature
- US20190005375A1 SECURE CONVOLUTIONAL NEURAL NETWORKS (CNN) ACCELERATOR Public/Granted day:2019-01-03
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