Image Privacy Prediction Using Deep Neural Networks

@article{Tonge2019ImagePP,
  title={Image Privacy Prediction Using Deep Neural Networks},
  author={Ashwini Tonge and Cornelia Caragea},
  journal={CoRR},
  year={2019},
  volume={abs/1903.03695}
}
Images today are increasingly shared online on social networking sites such as Facebook, Flickr, Foursquare, and Instagram. Image sharing occurs not only within a group of friends but also more and more outside a user’s social circles for purposes of social discovery. Despite that current social networking sites allow users to change their privacy preferences, this is often a cumbersome task for the vast majority of users on the Web, who face difficulties in assigning and managing privacy… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 107 REFERENCES

ImageNet Large Scale Visual Recognition Challenge

  • International Journal of Computer Vision
  • 2015
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Deep Residual Learning for Image Recognition

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2016
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
  • 2018
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Automatic Privacy Prediction to Accelerate Social Image Sharing

Zhenzhong Kuang, Zongmin Li, Dan Lin, Jianping Fan
  • 2017 IEEE Third International Conference on Multimedia Big Data (BigMM)
  • 2017
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Going deeper with convolutions

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2015
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Similar Papers

Loading similar papers…