My Privacy My Decision: Control of Photo Sharing on Online Social Network

Authors

  • S Shilpa Brindavan College of Engineering, Bangalore, India
  • P Sravani Brindavan College of Engineering, Bangalore, India
  • Subinu Salam Brindavan College of Engineering, Bangalore, India
  • N S Yathish Brindavan College of Engineering, Bangalore, India

Keywords:

Social network, photo privacy, secure multi-party computation, support vector machine, collaborative learning

Abstract

Photo sharing is an attractive feature which popularizes Online Social Networks (OSNs). Unfortunately, it may leak user’s privacy if they are allowed to post, comment, and tag a photo freely. In project, we attempt to address this issue and when a user shares a photo containing individuals other than himself/herself (termed co-photo for short). To prevent possible privacy leakage of a photo, we design a mechanism to enable each individual in a photo be aware of the posting activity and participate in the decision making on the photo posting. For this purpose, we need an efficient facial recognition (FR) system that can recognize everyone in the photo. However, more demanding privacy setting may limit the number of the photos publicly available to train the FR system. To deal with this dilemma, our mechanism attempts to utilize users’ private photos to design a personalized FR system specifically trained to differentiate possible photo co-owners without leaking their privacy.

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Published

2018-09-05

How to Cite

[1]
S. Shilpa, P. Sravani, S. Salam, and N. S. Yathish, “My Privacy My Decision: Control of Photo Sharing on Online Social Network”, pices, vol. 2, no. 5, pp. 116-118, Sep. 2018.