Privacy Prediction of Images Shared on Social Media Sites Using Deep Features

Understand

Online image sharing in social media sites such as Facebook, Flickr, and Instagram can lead to unwanted disclosure and privacy violations, when privacy settings are used inappropriately.

• With the exponential increase in the number of images that are shared online every day, the development of effective and efficient prediction methods for image privacy settings are highly needed.
• The performance of models critically depends on the choice of the feature representation.
• In this paper, we present an approach to image privacy prediction that uses deep features and deep image tags as feature representations.