@inproceedings{KorshunovICB2019,
    author = {Pavel Korshunov AND S\'{e}bastien Marcel},
    title = {Vulnerability assessment and detection of Deepfake videos},
    year = {2019},
    month = jun,
    booktitle = {IAPR International Conference On Biometrics ({ICB})},
    address = {Crete, Greece},
}


@article{KorshunovArgx2019,
    author = {Pavel Korshunov AND S\'{e}bastien Marcel},
    title = {DeepFakes: a New Threat to Face Recognition? Assessment and Detection},
    year = {2018},
    month = dec,
    journal   = {CoRR, arXiv},
}

* Install Conda_ first

* Install core Bob_ packages using Conda_ (copy/paste the following into your command line terminal)::

    $ conda update -n base conda
    $ conda config --set show_channel_urls True
    $ conda create --name bob_py3 --override-channels \
      -c https://www.idiap.ch/software/bob/conda -c defaults \
      python=3 bob
    $ conda activate bob_py3
    $ conda config --env --add channels defaults
    $ conda config --env --add channels https://www.idiap.ch/software/bob/conda
    $ conda install pip bob.bio.gmm bob.bio.video bob.pad.base bob.bio.spear bob.io.image bob.measure \
    sphinx bob.buildout setuptools mr.developer pip cython bob.ip.base bob.ip.tensorflow_extractor \
    bob.ip.qualitymeasure bob.learn.libsvm bob.bio.face bob.ip.draw bob.pad.face
    $ pip install keras-vggface

* Run `buildout` to build the package::

    $ buildout