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Ownership authentication of deep neural network models with watermarking

thesis
posted on 2023-12-07, 05:46 authored by Qi Zhong
This thesis investigates copyright protection for deep learning models using watermarking in a black-box setting. It explores three key objectives of the deep neural network (DNN) watermarking research community: preserving decision boundaries, improving watermark robustness, and removing watermarks. Various techniques, such as backdooring methods, frequency-domain watermarking, continual learning and attention alignment, were employed to achieve representative results.

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Pagination

163 p.

Language

English

Degree type

Doctorate

Degree name

Ph.D.

Copyright notice

All rights reserved

Editor/Contributor(s)

Leo Yu Zhang

Faculty

Faculty of Science, Engineering and Built Environment

School

School of Information Technology

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