[
  {
    "DF": 96.36,
    "FS": 90.29,
    "FSF": 86.86,
    "NT": 80.67,
    "Real": 52.4,
    "Total Accuracy": 70.1,
    "code_links": [
      {
        "title": "ondyari/FaceForensics",
        "url": "https://github.com/ondyari/FaceForensics"
      },
      {
        "title": "polimi-ispl/icpr2020dfdc",
        "url": "https://github.com/polimi-ispl/icpr2020dfdc"
      },
      {
        "title": "Baukebrenninkmeijer/HackGAN",
        "url": "https://github.com/Baukebrenninkmeijer/HackGAN"
      },
      {
        "title": "next-security-lab/fakeVideoForensics",
        "url": "https://github.com/next-security-lab/fakeVideoForensics"
      },
      {
        "title": "pothabattulasantosh/Detection-of-face-Manipulated-videos",
        "url": "https://github.com/pothabattulasantosh/Detection-of-face-Manipulated-videos"
      },
      {
        "title": "pothabattulasantosh/Detection-of-facial-Manipulated-videos",
        "url": "https://github.com/pothabattulasantosh/Detection-of-facial-Manipulated-videos"
      },
      {
        "title": "DataScienceNigeria/Fake-Detection-dataset-for-deepfake-from-Google-and-Jigsaw",
        "url": "https://github.com/DataScienceNigeria/Fake-Detection-dataset-for-deepfake-from-Google-and-Jigsaw"
      }
    ],
    "date": "2019-01-25",
    "date2": 20190125,
    "model": "XceptionNet",
    "paper": {
      "title": "FaceForensics++: Learning to Detect Manipulated Facial Images",
      "url": "https://cknow.io/lib/43329b64874c6703"
    },
    "paper_data_uoa": "43329b64874c6703"
  }
]