Adversarial attacks on deep learning

Deep learning models, especially convolutional neural networks (CNNs), have made significant progress in the field of image recognition and classification. However, adversarial attacks have emerged as a significant vulnerability, posing threats to the robustness of these models. One notable example...

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Bibliographic Details
Main Author: Yee, An Qi
Other Authors: Lam Siew Kei
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166036
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Institution: Nanyang Technological University
Language: English