OPTIMIZED ANALYSIS FOR DETECTING HARMFUL CONTENT

Patent №

US 11,601,451

Granted

2023-03-07

Filed 2022

Owner

UAB 360 IT

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17744704

A method including analyzing affected data known to include harmful content to identify harmful traits that are included in the affected data with a frequency that satisfies a threshold frequency; analyzing clean data known to be free of harmful content to identify clean traits that are included in the clean data with a frequency that satisfies the threshold frequency; determining harmful patterns indicating characteristics of the harmful traits included in affected data based at least in part on comparing the affected data with the harmful traits and the clean traits; determining clean patterns indicating characteristics of the clean traits included in clean data based at least in part on comparing the clean data with the harmful traits and the clean traits; and determining whether given data includes the harmful content based at least in part on utilizing the harmful patterns and the clean patterns. Various other aspects are contemplated.

AI classification

Planning1.00
Natural language0.89
Knowledge representation0.78
Machine learning0.75
AI hardware0.63
Vision0.33
Evolutionary computation0.00
Speech0.00

Ownership

UAB 360 IT

assignment · 599100637

Assignors

SEVCENKO, ALEKSANDR, BRILIAUSKAS, MANTAS

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

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