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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Bibliographic Details
Main Authors: TAY, Chiat Pin, SUBBARAJU, Vigneshwaran, KANDAPPU, Thivya
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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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
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