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