Data protection with unlearnable examples

The pervasive success of deep learning across diverse fields hinges on the extensive use of large datasets, which often contain sensitive personal information collected without explicit consent. This practice has raised significant privacy concerns, prompting the development of unlearnable examples...

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Bibliographic Details
Main Author: Ma, Xiaoyu
Other Authors: Alex Chichung Kot
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/177180