Real-world Attack on MTCNN Face Detection System

@article{Kaziakhmedov2019RealworldAO,
  title={Real-world Attack on MTCNN Face Detection System},
  author={Edgar Kaziakhmedov and Klim Kireev and Grigorii Melnikov and Mikhail Aleksandrovich Pautov and Aleksandr Petiushko},
  journal={2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)},
  year={2019},
  pages={0422-0427}
}
Recent studies proved that deep learning approaches achieve remarkable results on face detection task. On the other hand, the advances gave rise to a new problem associated with the security of the deep convolutional neural network models unveiling potential risks of DCNNs based applications. Even minor input changes in the digital domain can result in the network being fooled. It was shown then that some deep learning-based face detectors are prone to adversarial attacks not only in a digital… Expand
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