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Cited by 4Digital Media Forensic DetectionMisinformation and Its ImpactsBiometric Identification and Security

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Autonomous Detection and Evaluation of Deepfakes: A Comprehensive Study

Sunil, Reshma, Mer, Parita, Diwan, Anjali·2023·2023 Seventh International Conference on Image Information Processing (ICIIP)
DOI 10.1109/iciip61524.2023.10537789
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Abstract

In recent times, there has been a notable advancement in deepfake techniques and the accessibility of extensive, cost-free databases. Consequently, even folks lacking technological expertise can now edit or produce visually authentic samples for various goals, both benign and harmful in nature. This paper provides a comprehensive analysis of the classification of methods used for deepfake generation and detection. The paper considers numerous factors, including the identified forgery, methodology or techniques used, evaluation metrics used for performance analysis, and the utilized dataset. By studying the development of deepfakes and the most up-to-date deepfake detecting methods, this study gives a full picture of deepfake techniques and makes it easier to come up with new, more reliable methods to fight the growing difficulty of deepfakes.

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Crossref · 10.1109/iciip61524.2023.10537789

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Research works printed but not linked: 34

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Metadata

Authors
Sunil, R., Mer, P., & Diwan, A.
Affiliations
Marwadi University (IN)
ORCID
Diwan, Anjali
Venue
2023 Seventh International Conference on Image Information Processing (ICIIP)
Publisher
IEEE
Published
2023-11-22
Pages
35-40
DOI
10.1109/iciip61524.2023.10537789
OpenAlex
W4399111297
Cited by
4
References
4
Citations by year
2026: 1 · 2025: 2 · 2024: 1
FWCI
0.43
Type
conference paper
Language
en
Open access
closed
Licence
Locations
International Conference on Image Information Processing (ICIIP) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Physical Sciences › Computer Science › Signal Processing › Biometric Identification and Security
Keywords
deepfakes, deepfake detection, deepfake generation, deepfake datasets

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CoChat. (2026). Citation check: Autonomous Detection and Evaluation of Deepfakes: A Comprehensive Study. https://app.cochat.ai/papers/10.1109/iciip61524.2023.10537789
The paper
Sunil, R., Mer, P., & Diwan, A. (2023). Autonomous Detection and Evaluation of Deepfakes: A Comprehensive Study. 2023 Seventh International Conference on Image Information Processing (ICIIP). https://doi.org/10.1109/iciip61524.2023.10537789