FRAMEWORK FOR CERTIFYING A LOWER BOUND ON A ROBUSTNESS LEVEL OF CONVOLUTIONAL NEURAL NETWORKS

Patent №

US 11,625,487

Granted

2023-04-11

Filed 2019

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

+1 more

AI components

5

ml · vision · speech · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16256267

A certification method, system, and computer program product include certifying an adversarial robustness of a convolutional neural network by deriving an analytic solution for a neural network output using an efficient upper bound and an efficient lower bound on an activation function and applying the analytic solution in computing a certified robustness.

Machine learningVisionSpeechPlanningAI hardwareG06F 21/577G06N 3/045G06N 3/0464G06N 3/048G06N 3/08G06N 3/084G06N 20/00G06N 5/01

AI classification

Machine learning1.00
Planning1.00
Vision1.00
AI hardware1.00
Speech0.66
Knowledge representation0.01
Evolutionary computation0.00
Natural language0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 607310816

MASSACHUSETTS INSTITUTE OF TECHNOLOGY

assignment · 607310816

From the same owner

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