Deepfakes, Fake News and Multimedia Manipulation from Generation to Detection Call for Papers

Deepfakes, Fake News and Multimedia Manipulation from Generation to Detection
Special Issue Information (Journal of Imaging)

Dear Colleagues,

Machine-learning-based techniques are being utilized to generate
hyper-realistic manipulated facial multimedia content, known as
DeepFakes. While such technologies have positive potentials for use in
entertainment applications, the malevolent use of this technology can
harm citizens and the society as a whole by facilitating the
construction of indecent content, the spread of fake news to subvert
elections or undermine politics, bullying, and the amelioration of
social engineering to perpetrate financial fraud. In fact, it has been
shown that manipulated facial multimedia content can not only deceive
humans but also automated face-recognition-based biometric
systems. The advent of advanced hardware, powerful smart devices,
user-friendly apps (e.g., FaceApp and ZAO), and open-source ML codes
(e.g., Generative Adversarial Networks) have enabled even non-experts
to effortlessly create manipulated facial multimedia contents. In
principle, face manipulation involves swapping two faces, modifying
facial attributes (e.g., age and gender), morphing two different faces
into one face, adding imperceptible perturbations (i.e., adversarial
examples), synthetically generating faces, or animating/recreating
facial expressions in face images/videos.

 Topics of interest of this Special Issue include, but are not limited to:

    The generation of DeepFakes, face morphing, manipulation and
    adversarial attacks;

    The generation of synthetic faces using ML/AI techniques, e.g.,
    GANs;

    The detection of DeepFakes, face morphing, manipulation and
    adversarial attacks, including generalizable systems;

    The generation and detection of audio DeepFakes;

    Novel datasets and experimental protocols to facilitate research
    in DeepFakes and face manipulations;

    The formulation and extraction of DeepFake devices, platforms and
    software/app fingerprints;

    Face recognition systems (and humans) against DeepFakes, face
    morphing, manipulation and adversarial attacks, including their
    vulnerabilities to digital face manipulations;

    DeepFakes in the courtroom and on copyright law.


Deadline for manuscript submissions: 20 December 2022 
https://www.mdpi.com/journal/jimaging/special_issues/SI4UR5O9U9


Keywords

    DeepFakes
    digital face manipulations
    digital forensics
    fake news
    multimedia manipulations
    generative AI
    security and privacy
    information authenticity
    face morphing attack
    biometrics

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