首页|Data on Intelligent Systems Detailed by Researchers at Queensland University of Technology (MEFF - A model ensemble feature fusion approach for tackling adversa rial attacks in medical imaging)

Data on Intelligent Systems Detailed by Researchers at Queensland University of Technology (MEFF - A model ensemble feature fusion approach for tackling adversa rial attacks in medical imaging)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on intelligent syste ms have been published. According to news reporting out of Queensland University of Technology by NewsRx editors, research stated, “Adversarial attacks pose a s ignificant threat to deep learning models, specifically medical images, as they can mislead models into making inaccurate predictions by introducing subtle dist ortions to the input data that are often imperceptible to humans. Although adver sarial training is a common technique used to mitigate these attacks on medical images, it lacks the flexibility to address new attack methods and effectively i mprove feature representation.” Funders for this research include Queensland University of Technology; Australia n Research Council.

Queensland University of TechnologyInt elligent SystemsMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.7)