A defensive framework for deepfake detection under adversarial settings using temporal and spatial features. Asha, S., Vinod, P., & Menon, V. G. International Journal of Information Security, 22(5):1371–1382, October, 2023.
A defensive framework for deepfake detection under adversarial settings using temporal and spatial features [link]Paper  doi  bibtex   
@Article{Asha:2023:DFD,
  author =       "S. Asha and P. Vinod and Varun G. Menon",
  title =        "A defensive framework for deepfake detection under
                 adversarial settings using temporal and spatial
                 features",
  journal =      j-INT-J-INFO-SEC,
  volume =       "22",
  number =       "5",
  pages =        "1371--1382",
  month =        oct,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1007/s10207-023-00695-x",
  ISSN =         "1615-5262 (print), 1615-5270 (electronic)",
  ISSN-L =       "1615-5262",
  bibdate =      "Tue Sep 26 12:08:51 MDT 2023",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/intjinfosec.bib",
  URL =          "https://link.springer.com/article/10.1007/s10207-023-00695-x",
  acknowledgement = ack-nhfb,
  ajournal =     "Int. J. Info. Sci.",
  fjournal =     "International Journal of Information Security",
  journal-URL =  "https://link.springer.com/journal/10207",
}

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