Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective

@article{Oh2017AdversarialIP,
  title={Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective},
  author={Seong Joon Oh and Mario Fritz and Bernt Schiele},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={1491-1500}
}
Users like sharing personal photos with others through social media. At the same time, they might want to make automatic identification in such photos difficult or even impossible. Classic obfuscation methods such as blurring are not only unpleasant but also not as effective as one would expect [28, 37, 18]. Recent studies on adversarial image perturbations (AIP) suggest that it is possible to confuse recognition systems effectively without unpleasant artifacts. However, in the presence of… CONTINUE READING
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