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pro vyhledávání: '"Lin, Dazhen"'
The goal of fine-grained image description generation techniques is to learn detailed information from images and simulate human-like descriptions that provide coherent and comprehensive textual details about the image content. Currently, most of the
Externí odkaz:
http://arxiv.org/abs/2311.12799
The vulnerability of Convolutional Neural Networks (CNNs) to adversarial samples has recently garnered significant attention in the machine learning community. Furthermore, recent studies have unveiled the existence of universal adversarial perturbat
Externí odkaz:
http://arxiv.org/abs/2306.11261
Recent research has shown that Deep Neural Networks (DNNs) are highly vulnerable to adversarial samples, which are highly transferable and can be used to attack other unknown black-box models. To improve the transferability of adversarial samples, se
Externí odkaz:
http://arxiv.org/abs/2305.01361
Publikováno v:
In Information Sciences July 2024 675
Publikováno v:
In Medical Image Analysis May 2024 94
Publikováno v:
In Biomedical Signal Processing and Control April 2024 90
Publikováno v:
In Computers & Security February 2024 137
Akademický článek
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Publikováno v:
In Computers & Security January 2024 136
Publikováno v:
In Information Sciences November 2021 580:352-370