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The rapid development of technologies and artificial intelligence makes deepfakes an increasingly sophisticated and challenging-to-identify technique.
Neural networks and physical systems with emergent collective computational abilities
J. J. Hopfield · 2002
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Deep learning
I. Goodfellow, Y. Bengio, and A. Courville · 2016
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Wider face: A face detection benchmark
S. Yang, P. Luo, C.-C. Loy, and X. Tang · 2016
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Sgdr: Stochastic gradient descent with warm restarts
I. Loshchilov and F. Hutter · 2017
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
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Deepfake video detection using recurrent neural networks
D. Güera and E. J. Delp · 2018
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Deepfakes: a new threat to face recognition? assessment and detection, 2018
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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A closer look at spatiotemporal convolutions for action recognition
D. Tran, H. Wang, L. Torresani, J. Ray, Y. LeCun, and M. Paluri · 2018
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Detecting gan-generated imagery using saturation cues
S. McCloskey and M. Albright · 2019
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Faceforensics++: Learning to detect manipulated facial images
A. Rössler, D. Cozzolino, L. Verdoliva, C. Riess, J. Thies, 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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Fake generated painting detection via frequency analysis
Y. Bai, Y. Guo, J. Wei, L. Lu, R. Wang, and Y. Wang · 2020
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The deepfake detection challenge (dfdc) dataset, 2020
B. Dolhansky, J. Bitton, B. Pflaum, J. Lu, R. Howes, M. Wang, and C. C. Ferrer · 2020
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Exposing gan-generated faces using inconsistent corneal specular highlights, 2020
S. Hu, Y. Li, and S. Lyu · 2020
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Deeperforensics-1.0: A large-scale dataset for real-world face forgery detection
L. Jiang, R. Li, W. Wu, C. Qian, and C. C. Loy · 2020
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Advancing high fidelity identity swapping for forgery detection
L. Li, J. Bao, H. Yang, D. Chen, and F. Wen · 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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Comparing the performance of deepfake detection methods on benchmark datasets, 2020
C. Otto · 2020
The mever deepfake detection service: Lessons learnt from developing and deploying in the wild
S. Baxevanakis, G. Kordopatis-Zilos, P. Galopoulos, L. Apostolidis, K. Levacher, I. Baris Schlicht, D. Teyssou, I. Kompatsiaris, and S. Papadopoulos · 2022
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Detecting deepfake videos based on spatiotemporal attention and convolutional LSTM
B. Chen, T. Li, and W. Ding · 2022
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Deepfakes detection based on heart rate estimation: Single- and multi-frame
J. Hernandez-Ortega, R. Tolosana, J. Fierrez, and A. Morales · 2022
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Countering malicious DeepFakes: Survey, battleground, and horizon
F. Juefei-Xu, R. Wang, Y. Huang, Q. Guo, L. Ma, and Y. Liu · 2022
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Analyzing DeepFakes videos by face warping artifacts
A. D. Vairamani · 2022
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M2tr: Multi-modal multi-scale transformers for deepfake detection
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A convolutional lstm based residual network for deepfake video detection, 2020
S. Tariq, S. Lee, and S. S. Woo · 2020
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A video is worth more than 1000 lies. comparing 3dcnn approaches for detecting deepfakes
Y. Wang and A. Dantcheva · 2020
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Wilddeepfake: A challenging real-world dataset for deepfake detection
B. Zi, M. Chang, J. Chen, X. Ma, and Y.-G. Jiang · 2020
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Vivit: A video vision transformer
A. Arnab, M. Dehghani, G. Heigold, C. Sun, M. Lučić, and C. Schmid · 2021
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Hyperextended lightface: A facial attribute analysis framework
S. I. Serengil and A. Ozpinar · 2021
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One detector to rule them all: Towards a general deepfake attack detection framework
S. Tariq, S. Lee, and S. Woo · 2021
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J. Wang, Z. Wu, W. Ouyang, X. Han, J. Chen, Y.-G. Jiang, and S.-N. Li · 2022
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A comparative analysis of fake image detection in generative adversarial networks and variational autoencoders
M. Berrahal, M. Boukabous, and I. Idrissi · 2023
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The economics of deepfakes
N. Kshetri · 2023
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Identifying emerging cyber security threats and challenges for 2030
R. Mattioli, A. Malatras, E. Hunter, M. Biasibetti Penso, D. Bertram, and I. Neubert · 2023
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Toward understanding why adam converges faster than sgd for transformers
Y. Pan and Y. Li · 2023
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Local attention and long-distance interaction of rPPG for deepfake detection
J. Wu, Y. Zhu, X. Jiang, Y. Liu, and J. Lin · 2023
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Istvt: Interpretable spatial-temporal video transformer for deepfake detection
C. Zhao, C. Wang, G. Hu, H. Chen, C. Liu, and J. Tang · 2023
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