PoI+NBU: A Feasibility study in Generating High-Resolution Adversarial Images with a Black Box Evolutional Algorithm based Attack
Adversarial attacks in the digital image domain pose significant challenges to the robustness of machine learning models. Trained convolutional neural networks (CNNs) are among the leading tools used for the automatic classification of images. They are nevertheless exposed to attacks: Given an input...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad San Francisco de Quito USFQ
2025-08-01
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| Series: | ACI Avances en Ciencias e Ingenierías |
| Subjects: | |
| Online Access: | https://revistas.usfq.edu.ec/index.php/avances/article/view/3699 |
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