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AI-synthesized faces are visually challenging to discern from real ones.
Large scale gan training for high fidelity natural image synthesis
A. Brock, J. Donahue, and K. Simonyan · 2018
Earlier work this paper cites.
Progressive growing of GANs for improved quality, stability, and variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2018
Earlier work this paper cites.
Detection of deep network generated images using disparities in color components
H. Li, B. Li, S. Tan, and J. Huang · 2018
Earlier work this paper cites.
Detecting GAN-generated imagery using color cues
S. McCloskey and M. Albright · 2018
Earlier work this paper cites.
A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 2019
Earlier work this paper cites.
Do GANs leave artificial fingerprints?
F. Marra, D. Gragnaniello, L. Verdoliva, and G. Poggi · 2019
Earlier work this paper cites.
Incremental learning for the detection and classification of GAN-generated images
F. Marra, C. Saltori, G. Boato, and L. Verdoliva · 2019
Earlier work this paper cites.
Exploiting visual artifacts to expose Deepfakes and face manipulations
F. Matern, C. Riess, and M. Stamminger · 2019
Earlier work this paper cites.
Exposing GAN-synthesized faces using landmark locations
X. Yang, Y. Li, H. Qi, and S. Lyu · 2019
Earlier work this paper cites.
Attributing fake images to GANs: Learning and analyzing GAN fingerprints
N. Yu, L. S. Davis, and M. Fritz · 2019
Earlier work this paper cites.
https://www.cnn.com/2020/02/28/tech/fake-twitter-candidate-2020/index.html
A high school student created a fake 2020 US candidate. Twitter verified it · 2020
Cited alongside, same era.
https://www.cnn.com/2020/02/20/tech/fake-faces-deepfake/index.html
How fake faces are being weaponized online · 2020
Cited alongside, same era.
Detection, attribution and localization of GAN generated images
M. Goebel, L. Nataraj, and etc · 2020
Cited alongside, same era.
Learning by minimizing the sum of ranked range
S. Hu, Y. Ying, X. Wang, and S. Lyu · 2020
Cited alongside, same era.
Detecting CNN-generated facial images in real-world scenarios
N. Hulzebosch, S. Ibrahimi, and M. Worring · 2020
Cited alongside, same era.
Analyzing and improving the image quality of StyleGAN
Tkml-ap: Adversarial attacks to top-k multi-label learning
S. Hu, L. Ke, X. Wang, and S. Lyu · 2021
Later among the works it cites.
Exposing GAN-generated faces using inconsistent corneal specular highlights
S. Hu, Y. Li, and S. Lyu · 2021
Later among the works it cites.
Alias-free generative adversarial networks
T. Karras, M. Aittala, S. Laine, E. Härkönen, J. Hellsten, J. Lehtinen, and T. Aila · 2021
Later among the works it cites.
More real than real: A study on human visual perception of synthetic faces
F. Lago, C. Pasquini, R. Böhme, et al · 2021
Later among the works it cites.
Synthetic faces: how perceptually convincing are they?
S. Nightingale, S. Agarwal, E. Härkönen, J. Lehtinen, and H. Farid · 2021
Later among the works it cites.
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T. Karras, S. Laine, M. Aittala, J. Hellsten, J. Lehtinen, and T. Aila · 2020
Cited alongside, same era.
Global texture enhancement for fake face detection in the wild
Z. Liu, X. Qi, and P. H. Torr · 2020
Cited alongside, same era.
Media forensics and DeepFakes: an overview
L. Verdoliva · 2020
Cited alongside, same era.
CNN-generated images are surprisingly easy to spot… for now
S.-Y. Wang, O. Wang, R. Zhang, A. Owens, and A. A. Efros · 2020
Cited alongside, same era.
SofGAN: A portrait image generator with dynamic styling
A. Chen, R. Liu, L. Xie, Z. Chen, H. Su, and J. Yu · 2021
Cited alongside, same era.
https://bit.ly/35BU215
A spy reportedly used an AI-generated profile picture to connect with sources on LinkedIn
Cited in the paper.
https://graphics.reuters.com/CYBER-DEEPFAKE/ACTIVIST/nmovajgnxpa/index.html
These faces are not real
Cited in the paper.
Nir iris challenge evaluation in non-cooperative environments: Segmentation and localization
C. Wang et al · 2021
Later among the works it cites.
Eyes tell all: Irregular pupil shapes reveal GAN-generated faces
H. Guo, S. Hu, X. Wang, M.-C. Chang, and S. Lyu · 2022
Closest in time.
Robust attentive deep neural network for exposing gan-generated faces
H. Guo, S. Hu, X. Wang, M.-C. Chang, and S. Lyu · 2022
Closest in time.
Sum of ranked range loss for supervised learning
S. Hu, Y. Ying, X. Wang, and S. Lyu · 2022
Closest in time.
GAN-generated faces detection: A survey and new perspectives
X. Wang, H. Guo, S. Hu, M.-C. Chang, and S. Lyu · 2022
Closest in time.