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Recent advances in media generation techniques have made it easier for attackers to create forged images and videos.
“Transforming auto-encoders,”
Geoffrey E Hinton, Alex Krizhevsky, and Sida D Wang, · 2011
Earlier work this paper cites.
“On the effectiveness of local binary patterns in face anti-spoofing,”
Ivana Chingovska, André Anjos, and Sébastien Marcel, · 2012
Earlier work this paper cites.
“Rich models for steganalysis of digital images,”
Jessica Fridrich and Jan Kodovsky, · 2012
Earlier work this paper cites.
“Can face anti-spoofing countermeasures work in a real world scenario?,”
Tiago de Freitas Pereira, André Anjos, José Mario De Martino, and Sébastien Marcel, · 2013
Earlier work this paper cites.
“Learn convolutional neural network for face anti-spoofing,”
Jianwei Yang, Zhen Lei, and Stan Z Li, · 2014
Earlier work this paper cites.
“Face liveness detection from a single image via diffusion speed model,”
Wonjun Kim, Sungjoo Suh, and Jae-Joon Han, · 2015
Earlier work this paper cites.
“Deep representations for iris, face, and fingerprint spoofing detection,”
David Menotti, Giovani Chiachia, Allan Pinto, William Robson Schwartz, Helio Pedrini, Alexandre Xavier Falcao, and Anderson Rocha, · 2015
Earlier work this paper cites.
“Very deep convolutional networks for large-scale image recognition,”
Karen Simonyan and Andrew Zisserman, · 2015
Earlier work this paper cites.
“Face2Face: Real-time face capture and reenactment of RGB videos,”
Justus Thies, Michael Zollhofer, Marc Stamminger, Christian Theobalt, and Matthias Nießner, · 2016
Earlier work this paper cites.
“A deep learning approach to universal image manipulation detection using a new convolutional layer,”
Belhassen Bayar and Matthew C Stamm, · 2016
Earlier work this paper cites.
“Bringing portraits to life,”
Hadar Averbuch-Elor, Daniel Cohen-Or, Johannes Kopf, and Michael F Cohen, · 2017
Cited alongside, same era.
Joon Son Chung, Amir Jamaludin, and Andrew Zisserman, · 2017
Cited alongside, same era.
“Synthesizing obama: learning lip sync from audio,”
Supasorn Suwajanakorn, Steven M Seitz, and Ira Kemelmacher-Shlizerman, · 2017
Cited alongside, same era.
“Dynamic routing between capsules,”
Sara Sabour, Nicholas Frosst, and Geoffrey E Hinton, · 2017
Cited alongside, same era.
“Deep face liveness detection based on nonlinear diffusion using convolution neural network,”
Aziz Alotaibi and Ausif Mahmood, · 2017
Cited alongside, same era.
“Recent advances in biometrics security: A case study of liveness detection in face recognition,”
“Two-stream neural networks for tampered face detection,”
Peng Zhou, Xintong Han, Vlad I Morariu, and Larry S Davis, · 2017
Later among the works it cites.
“Deep video portraits,”
Hyeongwoo Kim, Pablo Garrido, Ayush Tewari, Weipeng Xu, Justus Thies, Matthias Nießner, Patrick Pérez, Christian Richardt, Michael Zollhöfer, and Christian Theobalt, · 2018
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Accessed: 2018-02-17
“Terrifying high-tech porn: Creepy ’deepfake’ videos are on the rise,” https://www.foxnews.com/tech/terrifying-high-tech-porn-creepy-deepfake-videos-are-on-the-rise , · 2018
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“In ictu oculi: Exposing AI generated fake face videos by detecting eye blinking,”
Yuezun Li, Ming-Ching Chang, Hany Farid, and Siwei Lyu, · 2018
Closest in time.
“FaceForensics: A large-scale video dataset for forgery detection in human faces,”
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nießner, · 2018
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Koichi Ito, Takehisa Okano, and Takafumi Aoki, · 2017
Cited alongside, same era.
“Recasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection,”
Davide Cozzolino, Giovanni Poggi, and Luisa Verdoliva, · 2017
Cited alongside, same era.
“Transferable deep-CNN features for detecting digital and print-scanned morphed face images,”
R. Raghavendra, Kiran B. Raja, Sushma Venkatesh, and Christoph Busch, · 2017
Cited alongside, same era.
“Distinguishing computer graphics from natural images using convolution neural networks,”
Nicolas Rahmouni, Vincent Nozick, Junichi Yamagishi, and Isao Echizen, · 2017
Cited alongside, same era.
Closest in time.
“Modular convolutional neural network for discriminating between computer-generated images and photographic images,”
Huy H Nguyen, Ngoc-Dung T Tieu, Hoang-Quoc Nguyen-Son, Vincent Nozick, Junichi Yamagishi, and Isao Echizen, · 2018
Closest in time.
“MesoNet: a compact facial video forgery detection network,”
Darius Afchar, Vincent Nozick, Junichi Yamagishi, and Isao Echizen, · 2018
Closest in time.
“Matrix capsules with EM routing,”
Geoffrey E Hinton, Sara Sabour, and Nicholas Frosst, · 2018
Closest in time.
“Distinguishing between natural and computer-generated images using convolutional neural networks,”
Weize Quan, Kai Wang, Dong-Ming Yan, and Xiaopeng Zhang, · 2018
Closest in time.