Robotics & Machine Learning Daily News2024,Issue(Sep.6) :30-30.

University of Toronto Researchers Discuss Research in Machine Learning (Evasive attacks against autoencoder-based cyberattack detection systems in power systems )

Robotics & Machine Learning Daily News2024,Issue(Sep.6) :30-30.

University of Toronto Researchers Discuss Research in Machine Learning (Evasive attacks against autoencoder-based cyberattack detection systems in power systems )

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Fresh data on artificial intelligence are presented in a new report. According to newsoriginating from Toronto, Canad a, by NewsRx editors, the research stated, “The digital transformationprocess o f power systems towards smart grids is resulting in improved reliability, effici ency and situationalawareness at the expense of increased cybersecurity vulnera bilities.”Funders for this research include Fqrnt; Nserc.

Key words

University of Toronto/Toronto/Canada/North and Central America/Cybersecurity/Cyborgs/Emerging Technologies/Machin e Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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