公开(公告)号：US20240086681A1

公开(公告)日：2024-03-14

申请号：US18389336

申请日：2023-11-14

Applicant: Texas Instruments Incorporated

Inventor： Mihir Narendra Mody ,  Veeramanikandan Raju ,  Chaitanya Ghone ,  Deepak Poddar

IPC: G06N3/04 ,  G06N3/045 ,  G06N3/088 ,  H04L9/40

CPC classification number: G06N3/04 ,  G06N3/045 ,  G06N3/088 ,  H04L63/0435 ,  H04L63/0464

Abstract: A 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.

公开(公告)号：US11853857B2

公开(公告)日：2023-12-26

申请号：US16889853

申请日：2020-06-02

Applicant: Texas Instruments Incorporated

Inventor： Mihir Narendra Mody ,  Veeramanikandan Raju ,  Chaitanya Ghone ,  Deepak Poddar

IPC: G06N3/04 ,  G06N3/088 ,  H04L9/40 ,  G06N3/045

CPC classification number: G06N3/04 ,  G06N3/045 ,  G06N3/088 ,  H04L63/0435 ,  H04L63/0464

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.

公开(公告)号：US20200293859A1

公开(公告)日：2020-09-17

申请号：US16889853

申请日：2020-06-02

Applicant: Texas Instruments Incorporated

Inventor： Mihir Narendra Mody ,  Veeramanikandan Raju ,  Chaitanya Ghone ,  Deepak Poddar

IPC: G06N3/04 ,  G06N3/08 ,  H04L29/06

Abstract: A 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.

公开(公告)号：US10706349B2

公开(公告)日：2020-07-07

申请号：US15730316

申请日：2017-10-11

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Mihir Narendra Mody ,  Veeramanikandan Raju ,  Chaitanya Ghone ,  Deepak Poddar

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.

公开(公告)号：US20190005375A1

公开(公告)日：2019-01-03

申请号：US15730316

申请日：2017-10-11

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Mihir Narendra Mody ,  Veeramanikandan Raju ,  Chaitanya Ghone ,  Deepak Poddar

IPC: G06N3/04 ,  H04L29/06 ,  G06N3/08

Abstract: A 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.