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Photorealistic image generation has reached a new level of quality due to the breakthroughs of generative adversarial networks (GANs).
Digital watermarking
Ingemar Cox, Matthew Miller, Jeffrey Bloom, and Chris Honsinger · 2002
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Watermarking security: theory and practice
Francois Cayre, Caroline Fontaine, and Teddy Furon · 2005
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Steganography in digital media: principles, algorithms, and applications
Jessica Fridrich · 2009
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Learning multiple layers of features from tiny images
Alex Krizhevsky, Geoffrey Hinton, et al · 2009
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Using high-dimensional image models to perform highly undetectable steganography
Tomáš Pevnỳ, Tomáš Filler, and Patrick Bas · 2010
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Libsvm: A library for support vector machines
Chih-Chung Chang and Chih-Jen Lin · 2011
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Designing steganographic distortion using directional filters
Vojtěch Holub and Jessica Fridrich · 2012
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Universal distortion function for steganography in an arbitrary domain
Vojtěch Holub, Jessica Fridrich, and Tomáš Denemark · 2014
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
Fisher Yu, Ari Seff, Yinda Zhang, Shuran Song, Thomas Funkhouser, and Jianxiong Xiao · 2015
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Unsupervised steganalysis based on artificial training sets
Daniel Lerch-Hostalot and David Megías · 2016
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2016
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Face2face: Real-time face capture and reenactment of rgb videos
Justus Thies, Michael Zollhofer, Marc Stamminger, Christian Theobalt, and Matthias Nießner · 2016
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Hiding images in plain sight: Deep steganography
Shumeet Baluja · 2017
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Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
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Generating steganographic images via adversarial training
Jamie Hayes and George Danezis · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
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Embedding watermarks into deep neural networks
Yusuke Uchida, Yuki Nagai, Shigeyuki Sakazawa, and Shin’ichi Satoh · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Toward multimodal image-to-image translation
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A Efros, Oliver Wang, and Eli Shechtman · 2017
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Turning your weakness into a strength: Watermarking deep neural networks by backdooring
Yossi Adi, Carsten Baum, Moustapha Cisse, Benny Pinkas, and Joseph Keshet · 2018
Cited alongside, same era.
Large scale gan training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2018
Cited alongside, same era.
Progressive growing of gans for improved quality, stability, and variation
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Evading deepfake-image detectors with white-and black-box attacks
Nicholas Carlini and Hany Farid · 2020
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Stargan v2: Diverse image synthesis for multiple domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2020
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Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions
Ricard Durall, Margret Keuper, and Janis Keuper · 2020
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Leveraging frequency analysis for deep fake image recognition
Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, and Thorsten Holz · 2020
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An indian politician is using deepfake technology to win new voters
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Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
Cited alongside, same era.
Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
Cited alongside, same era.
Are deep neural networks good for blind image watermarking?
Vedran Vukotić, Vivien Chappelier, and Teddy Furon · 2018
Cited alongside, same era.
Generative image inpainting with contextual attention
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S Huang · 2018
Cited alongside, same era.
Protecting intellectual property of deep neural networks with watermarking
Jialong Zhang, Zhongshu Gu, Jiyong Jang, Hui Wu, Marc Ph Stoecklin, Heqing Huang, and Ian Molloy · 2018
Cited alongside, same era.
Hidden: Hiding data with deep networks
Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei · 2018
Cited alongside, same era.
Deepmarks: A secure fingerprinting framework for digital rights management of deep learning models
Huili Chen, Bita Darvish Rouhani, Cheng Fu, Jishen Zhao, and Farinaz Koushanfar · 2019
Cited alongside, same era.
Charlotte Jee · 2020
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Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Global texture enhancement for fake face detection in the wild
Zhengzhe Liu, Xiaojuan Qi, Jiaya Jia, and Philip Torr · 2020
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Distortion agnostic deep watermarking
Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, and Peyman Milanfar · 2020
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Contrastive learning for unpaired image-to-image translation
Taesung Park, Alexei A. Efros, Richard Zhang, and Jun-Yan Zhu · 2020
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Someone used deepfake tech to invent a fake journalist
Dan Robitzski · 2020
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Stegastamp: Invisible hyperlinks in physical photographs
Matthew Tancik, Ben Mildenhall, and Ren Ng · 2020
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An online propaganda campaign used ai-generated headshots to create fake journalists
James Vincent · 2020
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Cnn-generated images are surprisingly easy to spot… for now
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, and Alexei A Efros · 2020
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Inclusive gan: Improving data and minority coverage in generative models
Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, and Mario Fritz · 2020
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Responsible disclosure of generative models using scalable fingerprinting
Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, and Mario Fritz · 2020
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Not my deepfake: Towards plausible deniability for machine-generated media
Baiwu Zhang, Jin Peng Zhou, Ilia Shumailov, and Nicolas Papernot · 2020
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Beyond the spectrum: Detecting deepfakes via re-synthesis
Yang He, Ning Yu, Margret Keuper, and Mario Fritz · 2021
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Dual contrastive loss and attention for gans
Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, and Mario Fritz · 2021
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Deep video inpainting detection
Peng Zhou, Ning Yu, Zuxuan Wu, Larry S Davis, Abhinav Shrivastava, and Ser-Nam Lim · 2021
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