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Deepfakes have raised significant concerns due to their potential to spread false information and compromise digital media integrity.
Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference
C. Sanderson and B. C. Lovell · 2009
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Generative adversarial networks, arxiv
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Conditional generative adversarial nets, arxiv
M. Mirza and S. Osindero · 2014
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K. O’Shea and R. Nash · 2015
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Wasserstein gan
M. Arjovsky, S. Chintala, and L. Bottou · 2017
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Fast face-swap using convolutional neural networks
I. Korshunova, W. Shi, J. Dambre, and L. Theis · 2017
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MesoNet: a Compact Facial Video Forgery Detection Network
D. Afchar, V. Nozick, J. Yamagishi, and I. Echizen · 2018
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Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2018
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Progressive growing of gans for improved quality, stability, and variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2018
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DeepFakes: a New Threat to Face Recognition?
P. Korshunov and S. Marcel · 2018
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In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking
Y. Li, M.-C. Chang, and S. Lyu · 2018
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Modular convolutional neural network for discriminating between computer-generated images and photographic images
H. H. Nguyen, N.-D. T. Tieu, H.-Q. Nguyen-Son, V. Nozick, J. Yamagishi, and I. Echizen · 2018
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Capsule-forensics: Using capsule networks to detect forged images and videos, arxiv
H. H. Nguyen, J. Yamagishi, and I. Echizen · 2018
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Blazeface: Sub-millisecond neural face detection on mobile gpus
V. Bazarevsky, Y. Kartynnik, A. Vakunov, K. Raveendran, and M. Grundmann · 2019
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The deepfake detection challenge (dfdc) preview dataset, arxiv
B. Dolhansky, R. Howes, B. Pflaum, N. Baram, and C. C. Ferrer · 2019
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Convolutional neural networks: A comprehensive survey
R. Haridas and R. L. Jyothi · 2019
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A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and A T. Aila · 2019
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An introduction to variational autoencoders
D. P. Kingma and M. Welling · 2019
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Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations
F. Matern, C. Riess, and M. Stamminger · 2019
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Faceforensics++: Learning to detect manipulated facial images, arxiv
A. Rössler, D. Cozzolino, L. Verdoliva, C. Riess, J. Thies, and M. Nießner · 2019
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Deferred neural rendering: Image synthesis using neural textures
J. Thies, M. Zollhöfer, and M. Nießner · 2019
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Exposing deep fakes using inconsistent head poses
X. Yang, Y. Li, and S. Lyu · 2019
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Albumentations: Fast and flexible image augmentations
A. Buslaev, V. I. Iglovikov, E. Khvedchenya, A. Parinov, M. Druzhinin, and A. A. Kalinin · 2020
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Leveraging edges and optical flow on faces for deepfake detection
A. Chintha, A. Rao, S. Sohrawardi, K. Bhatt, M. Wright, and R. Ptucha · 2020
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Fakecatcher: Detection of synthetic portrait videos using biological signals
U. A. Ciftci and I. Demir · 2020
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The deepfake detection challenge (dfdc) dataset, arxiv
B. Dolhansky, J. Bitton, B. Pflaum, J. Lu, R. Howes, M. Wang, and C. C. Ferrer · 2020
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Faceshifter: Towards high fidelity and occlusion aware face swapping
L. Li, J. Bao, H. Yang, D. Chen, and F. Wen · 2020
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Face x-ray for more general face forgery detection, arxiv
L. Li, J. Bao, T. Zhang, H. Yang, D. Chen, F. Wen, and B. Guo · 2020
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Celeb-df: A large-scale challenging dataset for deepfake forensics
Y. Li, X. Yang, P. Sun, H. Qi, and S. Lyu · 2020
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Digital manipulation and the future of electoral democracy in the u.s
G. P. Zachary · 2020
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Autoencoders
D. Bank, N. Koenigstein, and R. Giryes · 2021
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Auto-encoding variational Bayes
D. P. Kingma and M. Welling · 2022
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The Threat of Deepfakes to Computer and Human Visions
Pavel Korshunov and Sébastien Marcel · 2022
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Toward the Creation and Obstruction of DeepFakes
Yuezun Li, Pu Sun, Honggang Qi, and Siwei Lyu · 2022
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Convnet for the 2020s, arxiv
Z. Liu, H. Mao, C.-Y. Wu, C. Feichtenhofer, T. Darrell, and A S. Xie · 2022
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Deep learning for deepfakes creation and detection: A survey
T. T. Nguyen, Q. V. H. Nguyen, D. T. Nguyen, D. T. Nguyen, T. Huynh-The, S. Nahavandi, T. T. Nguyen, Q.-V. Pham, and C. M. Nguyen · 2022
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Anyface: Free-style text-to-face synthesis and manipulation
J. Sun, Q. Deng, Q. Li, M. Sun, M. Ren, and Z. Sun · 2022
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Diffusion models beat gans on image synthesis, arxiv
P. Dhariwal and A. Nichol · 2021
Cited alongside, same era.
Spatiotemporal inconsistency learning for deepfake video detection, arxiv
Z. Gu, Y. Chen, T. Yao, S. Ding, J. Li, F. Huang, and L. Ma · 2021
Cited alongside, same era.
Deepfake detection scheme based on vision transformer and distillation, arxiv
Y.-J. Heo, Y.-J. Choi, Y.-W. Lee, and B.-G. Kim · 2021
Cited alongside, same era.
Video transformer for deepfake detection with incremental learning
S. A. Khan and H. Dai · 2021
Cited alongside, same era.
Automated deepfake detection, arxiv
P. Liu, Y. Lin, Y. He, Y. Wei, L. Zhen, J. T. Zhou, R. S. M. Goh, and J. Liu · 2021
Cited alongside, same era.
Swin transformer: Hierarchical vision transformer using shifted windows, arxiv
Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, and B. Guo · 2021
Cited alongside, same era.
An Introduction to Digital Face Manipulation
Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales, and Javier Ortega-Garcia · 2022
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Improving deepfake detection by mixing top solutions of the dfdc
A. Trabelsi, M. M. Pic, and J.-L. Dugelay · 2022
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Engaging with deepfakes: a meta-synthesis from the perspective of social shaping of technology theory
P. N. Vasist and S. Krishnan · 2022
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Misleading deep-fake detection with gan fingerprints, arxiv
V. Wesselkamp, K. Rieck, D. Arp, and E. Quiring · 2022
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Artificial fingerprinting for generative models: Rooting deepfake attribution in training data
N. Yu, V. Skripniuk, S. Abdelnabi, and M. Fritz · 2022
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Deepfake video detection with spatiotemporal dropout transformer, arxiv
D. Zhang, F. Lin, Y. Hua, P. Wang, D. Zeng, and S. Ge · 2022
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One shot face swapping on megapixels
Y. Zhu, Q. Li, J. Wang, C. Xu, and Z. Sun · 2022
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Deepfake detection algorithm based on improved vision transformer
Y.-J. Heo, W.-H. Yeo, and B.-G. Kim · 2023
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Emergence of deepfakes and video tampering detection approaches: A survey
S. Kingra, N. Aggarwal, and N. Kaur · 2023
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Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward
M. Masood, M. Nawaz, K. M. Malik, A. Javed, A. Irtaza, and H. Malik · 2023
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Face forgery detection based on facial region displacement trajectory series
Y. Sun, Z. Zhang, I. Echizen, H. H. Nguyen, C. Qiu, and L. Sun · 2023
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Deepfake detection with deep learning: Convolutional neural networks versus transformers
V. L. L. Thing · 2023
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Multimodal graph learning for deepfake detection, arxiv
Z. Yan, P. Sun, Y. Lang, S. Du, S. Zhang, W. Wang, and L. Liu · 2023
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Improved deepfake video detection using convolutional vision transformer
Deressa Wodajo Deressa, Peter Lambert, Glenn Van Wallendael, Solomon Atnafu, and Hannes Mareen · 2024
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How generalizable are deepfake image detectors? an empirical study, 2024
Boquan Li, Jun Sun, Christopher M. Poskitt, and Xingmei Wang · 2024
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Com-press: Dashboard to detect (ai-based) image manipulations
Hannes Mareen, Stephanie D’haeseleer, Kristin Van Damme, Tom Evens, Peter Lambert, and Glenn Van Wallendael · 2024
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Open-source deepfake detection models from truemedia.org, Feb 2025
Aerin Kim · 2025
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Visual deepfake detection: Review of techniques, tools, limitations, and future prospects
Naveed Ur Rehman Ahmed, Afzal Badshah, Hanan Adeel, Ayesha Tajammul, Ali Daud, and Tariq Alsahfi · 2025
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