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Deepfake

  1. summary image

    Facial Forgery Detection

    Hao Dang*, Feng Liu*, Joel Stehouwer*, Xiaoming Liu, Anil Jain

    The prevalence of facial recognition, biometric unlock, and social media presents a significant opportunity for bad actors to introduce forged or manipulated images to spread false information or damage reputations. This is aided by the continuing improvement in realistic image synthesis and manipulation by generative adversarial network, GAN, based methods ...

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    Keywords: Deepfake, Image forgery

2020

  • On the Detection of Digital Face Manipulation
    Hao Dang*, Feng Liu*, Joel Stehouwer*, Xiaoming Liu, Anil Jain
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, Jun. 2020
    Bibtex | PDF | arXiv | Project Webpage
  • @inproceedings{ on-the-detection-of-digital-face-manipulation,
      author = { Hao Dang* and Feng Liu* and Joel Stehouwer* and Xiaoming Liu and Anil Jain },
      title = { On the Detection of Digital Face Manipulation },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Seattle, WA },
      month = { June },
      year = { 2020 },
    }