Detecting anti-forensic deepfakes with identity-aware multi-branch networks

Mingyu Zhu, Jun Long

Open source

DOI
10.3389/fdata.2025.1720525
Published
2025-12-10
Container
Frontiers in Big Data
Publisher
Frontiers Media SA
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/fdata.2025.1720525,
  title = {Detecting anti-forensic deepfakes with identity-aware multi-branch networks},
  author = {Mingyu Zhu and Jun Long},
  year = {2025},
  journal = {Frontiers in Big Data},
  doi = {10.3389/fdata.2025.1720525},
  url = {https://doi.org/10.3389/fdata.2025.1720525}
}

RIS

TY  - JOUR
TI  - Detecting anti-forensic deepfakes with identity-aware multi-branch networks
AU  - Mingyu Zhu
AU  - Jun Long
PY  - 2025
JO  - Frontiers in Big Data
DO  - 10.3389/fdata.2025.1720525
UR  - https://doi.org/10.3389/fdata.2025.1720525
ER  - 

APA

Zhu, M., & Long, J. (2025). Detecting anti-forensic deepfakes with identity-aware multi-branch networks. Frontiers in Big Data. https://doi.org/10.3389/fdata.2025.1720525

Source records