Analyzing probabilistic adversarial samples to attack cloud vision image classifier service

A two-stage frequency-domain generation algorithm based on differential evolution for black-box adversarial samples

X Song, D Xu, C Peng, Y Zhang, Y Xue - Expert Systems with Applications, 2024 - Elsevier
Adversarial sample generation problem is a hot issue in the security field of deep learning.
Evolutionary algorithm has been widely used to solve this problem in recent years because …
被引用次数：3 相关文章

Vehicle damage analysis using computer vision: Survey

S Doshi, A Gupta, J Gupta, N Hariya… - … , Computing and IT …, 2023 - ieeexplore.ieee.org
One of the biggest problems in the transportation industry is vehicle damage. The manual
inspection of these damaged automobiles takes a long time. Processing vehicle insurance …
被引用次数：5 相关文章

Logo detection using machine learning algorithm: A survey

J Sanghvi, J Rathod, S Nemade… - … , Computing and IT …, 2023 - ieeexplore.ieee.org
As more and more logos are produced, logo detection has gradually grown in popularity as
study across numerous jobs and sectors. Deep learning-based solutions, which make use of …
被引用次数：6 相关文章
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Associative Discussion Among Generating Adversarial Samples Using Evolutionary Algorithm and Samples Generated Using GAN

A Pavate, R Bansode, PN Srinivasu, J Shafi… - IEEE …, 2023 - ieeexplore.ieee.org
The remarkable accomplishments of deep neural networks (DNN) have led to their
widespread adoption in various contexts, including safety-critical applications. Many …
被引用次数：3 相关文章 所有 3 个版本

The Convergence of Medical IoT and Patient Privacy: Challenges and Solutions

S Sawant, Y Mane, A Pavate… - Industrial Internet of …, 2024 - taylorfrancis.com
The sphere of healthcare has seen a significant technological shift with the advent of
Medical Internet of Things (IoT) applications. These applications assume a crucial role in …
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