• Corpus ID: 212594112

Privacy Policy Inference of User-Uploaded Images on Content Sharing Sites

@inproceedings{Patil2016PrivacyPI,
  title={Privacy Policy Inference of User-Uploaded Images on Content Sharing Sites},
  author={Ms. Sayali P. Patil and Madhuri Zawar and Dipak Paradhi},
  year={2016}
}
In this paper Social media’s become one of the most important part of our daily life as it enables us to communicate with a lot of people. Creation of social networking sites such as MySpace, LinkedIn, and Facebook, individuals are given opportunities to meet new people and friends in their own and also in the other diverse communities across the world. Users of social-networking services share an abundance of personal information with a large number of “friends.” This improved technology leads… 

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References

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Privacy Policy Inference of User-Uploaded Images on Content Sharing Sites

An Adaptive Privacy Policy Prediction (A3P) system to help users compose privacy settings for their images, which relies on an image classification framework for image categories which may be associated with similar policies, and a policy prediction algorithm to automatically generate a policy for each newly uploaded image according to users' social features.

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Privacy Policy Inference of User-Uploaded Images on Content Sharing Sites

An Adaptive Privacy Policy Prediction (A3P) system to help users comprise privacy settings for their images is suggested, and the role of social context, image content, and metadata as possible indicators of users privacy preferences are examined.