INCREASING SECURITY OF NEURAL NETWORKS BY DISCRETIZING NEURAL NETWORK INPUTS

Patent №

US 11,354,574

Granted

2022-06-07

Filed 2020

Owner

GOOGLE LLC

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16859789

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for increasing the security of neural network by discretizing neural network inputs. One of the methods includes receiving a network input for a neural network; processing the network input using a discretization layer, wherein the discretization layer is configured to generate a discretized network input comprising a respective discretized vector for each of the numeric values in the network input; and processing the discretized network input using the plurality of additional neural network layers to generate a network output for the network input.

Machine learningVisionAI hardwareG06N 3/08G06F 17/16G06N 3/04G06N 3/0464G06N 3/09G06N 3/094

AI classification

Machine learning1.00
AI hardware1.00
Vision1.00
Knowledge representation0.48
Natural language0.29
Planning0.01
Speech0.00
Evolutionary computation0.00

Ownership

GOOGLE LLC

assignment · 526350899

Assignors

ROY, AURKO, GOODFELLOW, IAN, BUCKMAN, JACOB, RAFFEL, COLIN ABRAHAM

On an employer assignment, the assignors are typically the inventors.

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