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.

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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.

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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.
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