What is it about?
A comprehensive survey on image privacy issues and countermeasures in online social networks. The vision of our survey is to build a privacy-friendly online image-sharing environment with the help of artificial intelligence.
Featured Image
Photo by Tushar Mahajan on Unsplash
Why is it important?
We reviewed the high-reputation papers targeting this topic published in the recent decade. Through the review, we build a clear privacy analysis framework for online image privacy, which helps disentangle the complexity of online image privacy. Typically, we give a clear definition and taxonomy of online image privacy considering its dynamic, human subjectivity, multi-dimensional and human-computer interactive natures. Then we analyze the associated privacy issues from a human-centric perspective and summarized the corresponding intelligent solutions from the literature.
Read the Original
This page is a summary of: Privacy Intelligence: A Survey on Image Privacy in Online Social Networks, ACM Computing Surveys, December 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3547299.
You can read the full text:
Contributors
The following have contributed to this page
