The Creation and Detection of Deepfakes: A Survey

@article{Mirsky2020TheCA,
  title={The Creation and Detection of Deepfakes: A Survey},
  author={Yisroel Mirsky and W. Lee},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.11138}
}
  • Yisroel Mirsky, W. Lee
  • Published 2020
  • Computer Science, Engineering
  • ArXiv
  • Generative deep learning algorithms have progressed to a point where it is difficult to tell the difference between what is real and what is fake. In 2018, it was discovered how easy it is to use this technology for unethical and malicious applications, such as the spread of misinformation, impersonation of political leaders, and the defamation of innocent individuals. Since then, these `deepfakes' have advanced significantly. In this paper, we explore the creation and detection of deepfakes… CONTINUE READING
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    References

    SHOWING 1-10 OF 212 REFERENCES
    DeepfakeStack: A Deep Ensemble-based Learning Technique for Deepfake Detection
    • M. S. Rana, A. Sung
    • Computer Science
    • 2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom)
    • 2020
    • 4
    FakeSpotter: A Simple Baseline for Spotting AI-Synthesized Fake Faces
    • 22
    • PDF
    Unmasking DeepFakes with simple Features
    • 21
    • PDF
    Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks
    • 3
    • PDF
    Detection of GAN-Generated Fake Images over Social Networks
    • 85
    DeepFakes: a New Threat to Face Recognition? Assessment and Detection
    • 113
    • PDF
    How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals
    • 2
    • PDF