Investigating robustness of deep learning against adversarial examples

Deep learning has achieved many unprecedented performances in various fields, such as the field of Computer Vision. Deep neural networks have shown many impressive results in solving complex problems, yet, they are still vulnerable to adversarial attacks, which come in the form of subtle, often impe...

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Bibliographic Details
Main Author: Chua, Shan Jing
Other Authors: Jun Zhao
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2019
Subjects:
Online Access:https://hdl.handle.net/10356/136558
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Institution: Nanyang Technological University
Language: English