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Generative adversary network (GAN) generated high-realistic human faces have been used as profile images for fake social media accounts and are visually challenging to discern from real ones.
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Andrew Fitzgibbon, Maurizio Pilu, and Robert B Fisher, · 1999
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“Dlib-ml: A machine learning toolkit,”
Davis E King, · 2009
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“Pupil segmentation of abnormal eye using image enhancement in spatial domain,”
A. R. Ramli R. A. Ramlee and Z. M. Noh, · 2017
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“Progressive growing of GANs for improved quality, stability, and variation,”
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen, · 2018
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“Detection of deep network generated images using disparities in color components,”
Haodong Li, Bin Li, Shunquan Tan, and Jiwu Huang, · 2018
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“Detecting GAN-generated imagery using color cues,”
Scott McCloskey and Michael Albright, · 2018
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“A style-based generator architecture for generative adversarial networks,”
Tero Karras, Samuli Laine, and Timo Aila, · 2019
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“Do GANs leave artificial fingerprints?,”
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, and Giovanni Poggi, · 2019
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“Exposing GAN-synthesized faces using landmark locations,”
Xin Yang, Yuezun Li, Honggang Qi, and Siwei Lyu, · 2019
Earlier work this paper cites.
“Exposing deep fakes using inconsistent head poses,”
Xin Yang, Yuezun Li, and Siwei Lyu, · 2019
Earlier work this paper cites.
“Exploiting visual artifacts to expose Deepfakes and face manipulations,”
Falko Matern, Christian Riess, and Marc Stamminger, · 2019
Earlier work this paper cites.
“Attributing fake images to GANs: Learning and analyzing GAN fingerprints,”
Ning Yu, Larry S Davis, and Mario Fritz, · 2019
Earlier work this paper cites.
“Incremental learning for the detection and classification of GAN-generated images,”
Francesco Marra, Cristiano Saltori, Giulia Boato, and Luisa Verdoliva, · 2019
Cited alongside, same era.
“Efficientnet: Rethinking model scaling for convolutional neural networks,”
Mingxing Tan and Quoc Le, · 2019
Cited alongside, same era.
“Analyzing and improving the image quality of StyleGAN,”
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila, · 2020
Cited alongside, same era.
“A high school student created a fake 2020 US candidate. Twitter verified it,”
2020
Cited alongside, same era.
“How fake faces are being weaponized online,”
2020
Cited alongside, same era.
“CNN-generated images are surprisingly easy to spot… for now,”
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, and Alexei A Efros, · 2020
“A lightweight multi-label segmentation network for mobile iris biometrics,”
Caiyong Wang, Yunlong Wang, Boqiang Xu, and etc, · 2020
Later among the works it cites.
“Synthetic faces: how perceptually convincing are they?,”
Sophie Nightingale, Shruti Agarwal, Erik Härkönen, Jaakko Lehtinen, and Hany Farid, · 2021
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“Exposing GAN-generated faces using inconsistent corneal specular highlights,”
Shu Hu, Yuezun Li, and Siwei Lyu, · 2021
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“Boundary IoU: Improving object-centric image segmentation evaluation,”
Bowen Cheng, Ross Girshick, Piotr Dollár, Alexander C. Berg, and Alexander Kirillov, · 2021
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“Tkml-ap: Adversarial attacks to top-k multi-label learning,”
Shu Hu, Lipeng Ke, Xin Wang, and Siwei Lyu, · 2021
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“NIR iris challenge evaluation in non-cooperative environments: Segmentation and localization,”
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Cited alongside, same era.
“Learning by minimizing the sum of ranked range,”
Shu Hu, Yiming Ying, Xin Wang, and Siwei Lyu, · 2020
Cited alongside, same era.
“Detecting CNN-generated facial images in real-world scenarios,”
Nils Hulzebosch, Sarah Ibrahimi, and Marcel Worring, · 2020
Cited alongside, same era.
“Detection, attribution and localization of GAN generated images,”
Michael Goebel, Lakshmanan Nataraj, and etc, · 2020
Cited alongside, same era.
“Global texture enhancement for fake face detection in the wild,”
Zhengzhe Liu, Xiaojuan Qi, and Philip HS Torr, · 2020
Cited alongside, same era.
“Media forensics and DeepFakes: an overview,”
Luisa Verdoliva, · 2020
Cited alongside, same era.
“Towards complete and accurate iris segmentation using deep multi-task attention network for non-cooperative iris recognition,”
Caiyong Wang, Jawad Muhammad, Yunlong Wang, Zhaofeng He, and Zhenan Sun, · 2020
Cited alongside, same era.
Caiyong Wang, Yunlong Wang, Kunbo Zhang, and etc., · 2021
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“Alias-free generative adversarial networks,”
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, and Timo Aila, · 2021
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“SofGAN: A portrait image generator with dynamic styling,”
Anpei Chen, Ruiyang Liu, Ling Xie, Zhang Chen, Hao Su, and Jingyi Yu, · 2021
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“Robust attentive deep neural network for exposing gan-generated faces,”
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, and Siwei Lyu, · 2022
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“Sum of ranked range loss for supervised learning,”
Shu Hu, Yiming Ying, Xin Wang, and Siwei Lyu, · 2022
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“Open-eye: An open platform to study human performance on identifying ai-synthesized faces,”
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, and Siwei Lyu, · 2022
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“Gan-generated faces detection: A survey and new perspectives,”
Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, and Siwei Lyu, · 2022
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