PrivObfNet: A weakly supervised semantic segmentation model for data protection
The use of social media has made it easy to communicate and share information over the internet. However, it also brings issues such as data privacy leakage, which can be exploited by recipients with malicious intentions to harm the sender. In this paper, we propose a deep neural network that analyz...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/9308 https://ink.library.smu.edu.sg/context/sis_research/article/10308/viewcontent/Tay_PrivObfNet_A_Weakly_Supervised_Semantic_Segmentation_Model_for_Data_Protection_WACV_2024_paper.pdf |
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| Institution: | Singapore Management University |
| Language: | English |