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Face manipulation technology is advancing very rapidly, and new methods are being proposed day by day.
Visualizing data using t-SNE
L. Van der Maaten and G. Hinton · 2008
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Multi-region probabilistic histograms for robust and scalable identity inference
C. Sanderson and B.C. Lovell · 2009
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Explaining and harnessing adversarial examples
I. Goodfellow, J. Shlens, and C. Szegedy · 2015
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MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
Y. Guo, L. Zhang, Y. Hu, X. He, and J. Gao · 2016
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Improved deep metric learning with multi-class n-pair loss objective
K. Sohn · 2016
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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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Decoupled weight decay regularization
I. Loshchilov and F. Hutter · 2017
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VoxCeleb2: Deep speaker recognition
J.S. Chung, A. Nagrani, and A. Zisserman · 2018
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ForensicTransfer: Weakly-supervised domain adaptation for forgery detection
D. Cozzolino, J. Thies, A. Rössler, C. Riess, M. Nießner, and L. Verdoliva · 2018
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Transfer learning from speaker verification to multispeaker text-to-speech synthesis
Y. Jia, Y. Zhang, R. Weiss, Q. Wang, J. Shen, F. Ren, P. Nguyen, R. Pang, I. Lopez Moreno, Y. Wu, et al · 2018
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Deepfakes: a new threat to face recognition? assessment and detection
P. Korshunov and S. Marcel · 2018
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Speaker inconsistency detection in tampered video
P. Korshunov and S. Marcel · 2018
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Emotions don’t lie: An audio-visual deepfake detection method using affective cues
T. Mittal, U. Bhattacharya, R. Chandra, A. Bera, and D. Manocha · 2018
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Group normalization
Y. Wu and K. He · 2018
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Protecting world leaders against deep fakes
S. Agarwal, H. Farid, Y. Gu, M. He, K. Nagano, and H. Li · 2019
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Extracting camera-based fingerprints for video forensics
D. Cozzolino, G. Poggi, and L. Verdoliva · 2019
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The deepfake detection challenge (DFDC) preview dataset
B. Dolhansky, R. Howes, B. Pflaum, N. Baram, and C. Canton Ferrer · 2019
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Tampered speaker inconsistency detection with phonetically aware audio-visual features
P. Korshunov, M. Halstead, D. Castan, M. Graciarena, M. McLaren, B. Burns, A. Lawson, and S. Marcel · 2019
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Incremental learning for GAN-generated image detection
F. Marra, C. Saltori, G. Boato, and L. Verdoliva · 2019
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FSGAN: Subject agnostic face swapping and reenactment
Y. Nirkin, Y. Keller, and T. Hassner · 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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Noise-tolerant audio-visual online person verification using an attention-based neural network fusion
S. Shon, T.-H. Oh, and J. Glass · 2019
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First order motion model for image animation
A. Siarohin, S. Lathuilière, S. Tulyakov, E. Ricci, and N. Sebe · 2019
Cited alongside, same era.
Efficientnet: Rethinking model scaling for convolutional neural networks
M. Tan and Q. Le · 2019
Cited alongside, same era.
Detecting deep-fake videos from appearance and behavior
S. Agarwal, H. Farid, T. El-Gaaly, and S. Lim · 2020
Cited alongside, same era.
Detecting deep-fake videos from phoneme-viseme mismatches
S. Agarwal, H. Farid, O. Fried, and M. Agrawala · 2020
Cited alongside, same era.
Video Face Manipulation Detection Through Ensemble of CNNs
N. Bonettini, E.D. Cannas, S. Mandelli, L. Bondi, P. Bestagini, and S. Tubaro · 2020
Cited alongside, same era.
Not made for each other- audio-visual dissonance-based deepfake detection and localization
K. Chugh, P. Gupta, A. Dhall, and R. Subramanian · 2020
Lips don’t lie: A generalisable and robust approach to face forgery detection
A. Haliassos, K. Vougioukas, S. Petridis, and M. Pantic · 2021
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FakeAVCeleb: A novel audio-video multimodal deepfake dataset
K. Hasam, T. Shahroz, K. Minha, and S.S. Woo · 2021
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Adversarial deepfakes: Evaluating vulnerability of deepfake detectors to adversarial examples
S. Hussain, P. Neekhara, M. Jere, F. Koushanfar, and J. McAuley · 2021
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Video transformer for deepfake detection with incremental learning
S.A. Khan and H. Dai · 2021
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KoDF: A large-scale korean deepfake detection dataset
P. Kwon, J. You, G. Nam, S. Park, and G. Chae · 2021
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Frequency-aware discriminative feature learning supervised by single-center loss for face forgery detection
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Cited alongside, same era.
On the detection of digital face manipulation
H. Dang, F. Liu, J. Stehouwer, X. Liu, and A.K. Jain · 2020
Cited alongside, same era.
The deepfake detection challenge dataset
B. Dolhansky, J. Bitton, B. Pflaum, J. Lu, R. Howes, M. Wang, and C. Canton Ferrer · 2020
Cited alongside, same era.
Clova baseline system for the voxceleb speaker recognition challenge 2020
H.S. Heo, B.-J. Lee, J. Huh, and J.S. Chung · 2020
Cited alongside, same era.
T-GD: Transferable GAN-generated Images Detection Framework
H. Jeon, Y. Bang, J. Kim, and S. Woo · 2020
Cited alongside, same era.
Supervised contrastive learning
P. Khosla, P. Teterwak, C. Wang, A. Sarna, Y. Tian, P. Isola, A. Maschinot, C. Liu, and D. Krishnan · 2020
Cited alongside, same era.
Face X-ray for more general face forgery detection
L. Li, J. Bao, T. Zhang, H. Yang, D. Chen, F. Wen, and B. Guo · 2020
Cited alongside, same era.
J. Li, H. Xie, J. Li, Z. Wang, and Y. Zhang · 2021
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Spatial-phase shallow learning: Rethinking face forgery detection in frequency domain
H. Liu, X. Li, W. Zhou, Y. Chen, Y. He, H. Xue, W. Zhang, and N. Yu · 2021
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Generalizing face forgery detection with high-frequency features
Y. Luo, Y. Zhang, J. Yan, and W. Liu · 2021
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Adversarial threats to deepfake detection: A practical perspective
P. Neekhara, B. Dolhansky, J. Bitton, and Cristian Canton Ferrer · 2021
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A Multi-view approach to audio-visual speaker verification
L. Sari, K. Singh, J. Zhou, L. Torresani, N. Singhal, and Y. Saraf · 2021
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Representative forgery mining for fake face detection
C. Wang and W. Deng · 2021
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Multi-attentional deepfake detection
H. Zhao, W. Zhou, D. Chen, T. Wei, W. Zhang, and N. Yu · 2021
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Learning self-consistency for deepfake detection
T. Zhao, X. Xu, M. Xu, H. Ding, Y. Xiong, and W. Xia · 2021
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Exploring temporal coherence for more general video face forgery detection
Y. Zheng, J. Bao, D. Chen, M. Zeng, and F. Wen · 2021
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Joint audio-visual deepfake detection
Y. Zhou and S.-N. Lim · 2021
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Face forgery detection by 3d decomposition
X. Zhu, H. Wang, H. Fei, Z. Lei, and S.Z. Li · 2021
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Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms
M. Boháček and H. Farid · 2022
Closest in time.
Protecting celebrities from deepfake with identity consistency transformer
X. Dong, J. Bao, D. Chen, T. Zhang, W. Zhang, N. Yu, D. Chen, F. Wen, and B. Guo · 2022
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Leveraging real talking faces via self-supervision for robust forgery detection
A. Haliassos, R. Mira, S. Petridis, and M. Pantic · 2022
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M2tr: Multi-modal multi-scale transformers for deepfake detection
J. Wang, Z. Wu, X. Ouyang, W.and Han, J. Chen, Y.-G. Jiang, and S.-N. Li · 2022
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Watch those words: Video falsification detection using word-conditioned facial motion
S. Agarwal, L. Hu, E. Ng, T. Darrell, H. Li, and A. Rohrbach · 2023
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