Robotics & Machine Learning Daily News2024,Issue(Jul.8) :2-3.

Furtwangen University Researcher Provides Details of New Studies and Findings in the Area of Artificial Intelligence (Minimally Distorted Adversarial Images wit h a Step-Adaptive Iterative Fast Gradient Sign Method)

Robotics & Machine Learning Daily News2024,Issue(Jul.8) :2-3.

Furtwangen University Researcher Provides Details of New Studies and Findings in the Area of Artificial Intelligence (Minimally Distorted Adversarial Images wit h a Step-Adaptive Iterative Fast Gradient Sign Method)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reportingoriginating from Villingen-Schwenn ingen, Germany, by NewsRx correspondents, research stated, “Thesafety and robus tness of convolutional neural networks (CNNs) have raised increasing concerns, e speciallyin safety-critical areas, such as medical applications. Although CNNs are efficient in image classification,their predictions are often sensitive to minor, for human observers, invisible modifications of the image.”Funders for this research include German Federal Ministry of Research And Educat ion.

Key words

Furtwangen University/Villingen-Schwenn ingen/Germany/Europe/Artificial Intelligence

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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