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 M. 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… Expand

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References

SHOWING 1-10 OF 17 REFERENCES
Privacy Policy Inference of User-Uploaded Images on Content Sharing Sites
TLDR
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. Expand
Social Circles: Tackling Privacy in Social Networks
TLDR
This paper proposes to build—and evaluate the usability of—an automated grouping technique that analyzes the user’s social graph for social circles, i.e., clusters of densely and closely connected friends. Expand
YOURPRIVACYPROTECTOR, A recommender system for privacy settings in social networks
TLDR
YourPrivacyProtector is presented, a recommender system that shows how simple machine learning techniques may provide useful assistance in these two tasks to Facebook users: understanding their social net behavior in terms of their privacy settings and broad privacy categories and recommending reasonable privacy options. Expand
Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook
TLDR
It is found that an individual's privacy concerns are only a weak predictor of his membership to the Facebook, and also privacy concerned individuals join the network and reveal great amounts of personal information. Expand
Privacy suites: shared privacy for social networks
TLDR
A new paradigm is proposed which allows users to easily choose "suites" of privacy settings which have been specified by friends or trusted experts, only modifying them if they wish, which could dramatically increase the privacy protection that most users experience with minimal time investment. Expand
Over-exposed?: privacy patterns and considerations in online and mobile photo sharing
TLDR
In a first-of-its-kind study, context-aware camerephone devices are used to examine privacy decisions in mobile and online photo sharing and identify relationships between location of photo capture and photo privacy settings. Expand
Providing Access Control to Online Photo Albums Based on Tags and Linked Data
TLDR
This paper proposes and describes a system which allows users to create expressive access control policies for their photos on the Web by using both tags and linked data. Expand
The PViz comprehension tool for social network privacy settings
TLDR
PViz allows the user to understand the visibility of her profile according to automatically-constructed, natural sub-groupings of friends, and at different levels of granularity, an interface and system that corresponds more directly with how users model groups and privacy policies applied to their networks. Expand
Tag, you can see it!: using tags for access control in photo sharing
TLDR
It is found that tags created for organizational purposes can be repurposed to create efficient and reasonably accurate access-control rules and participants can understand and actively engage with the concept of tag-based access control. Expand
Why we tag: motivations for annotation in mobile and online media
TLDR
The incentives for annotation in Flickr, a popular web-based photo-sharing system, and ZoneTag, a cameraphone photo capture and annotation tool that uploads images to Flickr are investigated to offer a taxonomy of motivations for annotation along two dimensions (sociality and function). Expand
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