Robotics & Machine Learning Daily News2024,Issue(Feb.5) :127-130.

Patent Application Titled 'Detecting And Responding To Malicious Acts Directed Towards Machine Learning Model' Published Online (USPTO 20240022585)

Robotics & Machine Learning Daily News2024,Issue(Feb.5) :127-130.

Patent Application Titled 'Detecting And Responding To Malicious Acts Directed Towards Machine Learning Model' Published Online (USPTO 20240022585)

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Abstract

According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventors Ballard, James (Fredericksburg, VA, US); Burns, Tanner (Austin, TX, US); Sestito, Chris (Austin, TX, US), filed on July 15, 2022, was made available online on January 18, 2024. The assignee for this patent application is HiddenLayer Inc. (Leander, Texas, United States). Reporters obtained the following quote from the background information supplied by the inventors: “Machine learning computing resources are becoming more popular in products and computing systems. With the increased presence of machine learning model resources, so have the attacks perpetrated on machine learning-based systems by bad actors. Traditional methods of virus detection do not detect attacks made against most machine learning systems. As such, what is needed is an improved method for detecting attacks on machine learning systems.”

Key words

Business/Cybersecurity/Cyborgs/Emerging Technologies/Hid- denLayer Inc./Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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