Privobfnet: A weakly supervised semantic segmentation model for data protection
CP Tay, V Subbaraju… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
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 …
internet. However, it also brings issues such as data privacy leakage, which can be …
[PDF][PDF] Visual Privacy Mitigation Strategies in Social Media Networks and Smart Environments
J DeHart - 2023 - core.ac.uk
I wish to thank my committee members, who were generous with their expertise and time.
First, I would like to thank my committee chairperson, Dr. Dean Hougen, for your willingness …
First, I would like to thank my committee chairperson, Dr. Dean Hougen, for your willingness …
Personalized Privacy Risk Assessment Based on Deep Neural Network for Image Sharing on Social Networks
H Cai, A Zhao, S Wang, M Zhang, Y Zhang - International Conference on …, 2023 - Springer
With the extensive usage of social networks, many users get used to share images with their
friends frequently without thinking carefully about the private information in the images …
friends frequently without thinking carefully about the private information in the images …
Advancing federated learning: algorithms and use-cases
S Banerjee - 2024 - diva-portal.org
Federated Learning (FL) is a distributed machine learning paradigm that enables the
training of models across numerous clients or organizations without requiring the transfer of …
training of models across numerous clients or organizations without requiring the transfer of …
Privacy-Decision Assisting Techniques: Leveraging Deep Learning Approaches for Predicting Social Ties, Sharing Audience, and Content Sensitivity in Online Social …
L Kqiku - 2024 - ediss.uni-goettingen.de
In an era where digital communication and content sharing proliferate, managing and
protecting users' privacy becomes increasingly challenging and crucial. This particularly …
protecting users' privacy becomes increasingly challenging and crucial. This particularly …