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Growing applications of generative models have led to new threats such as malicious personation and digital copyright infringement.
Steganogan: High capacity image steganography with gans
Kevin Alex Zhang, Alfredo Cuesta-Infante, Lei Xu, and Kalyan Veeramachaneni · 1901
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Detecting and simulating artifacts in gan fake images
Xu Zhang, Svebor Karaman, and Shih-Fu Chang · 1907
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Kornia: an open source differentiable computer vision library for pytorch, 2020
E. Riba, D. Mishkin, D. Ponsa, E. Rublee, and G. Bradski · 1910
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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 · 1912
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Electronic watermark
Anatol Z Tirkel, GA Rankin, RM Van Schyndel, WJ Ho, NRA Mee, and Charles F Osborne · 1993
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A digital watermark
Ron G Van Schyndel, Andrew Z Tirkel, and Charles F Osborne · 1994
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Robust template matching for affine resistant image watermarks
Shelby Pereira and Thierry Pun · 2000
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Hiding digital watermarks using multiresolution wavelet transform
Ming-Shing Hsieh, Din-Chang Tseng, and Yong-Huai Huang · 2001
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Exposing digital forgeries by detecting traces of resampling
Alin C Popescu and Hany Farid · 2005
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Robust image watermarking based on multiband wavelets and empirical mode decomposition
Ning Bi, Qiyu Sun, Daren Huang, Zhihua Yang, and Jiwu Huang · 2007
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MNIST handwritten digit database
Yann LeCun and Corinna Cortes · 2010
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Exposing photo manipulation with inconsistent reflections
James F O’brien and Hany Farid · 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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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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A conceptual breakthrough in sphere packing
Henry Cohn · 2016
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Deconvolution and checkerboard artifacts
Augustus Odena, Vincent Dumoulin, and Chris Olah · 2016
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Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A Efros · 2016
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks, 2015
Alec Radford, Luke Metz, and Soumith Chintala · 2016
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A deep learning approach to detection of splicing and copy-move forgeries in images
Yuan Rao and Jiangqun Ni · 2016
Cited alongside, same era.
Photo forensics from jpeg dimples
Shruti Agarwal and Hany Farid · 2017
Cited alongside, same era.
The sphere packing problem in dimension 24
Henry Cohn, Abhinav Kumar, Stephen D Miller, Danylo Radchenko, and Maryna Viazovska · 2017
Cited alongside, same era.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
High-resolution image synthesis and semantic manipulation with conditional gans
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, and Bryan Catanzaro · 2018
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Attributing fake images to gans: Analyzing fingerprints in generated images
Ning Yu, Larry Davis, and Mario Fritz · 2018
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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
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Hidden: Hiding data with deep networks
Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei · 2018
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The bizarre and terrifying case of the “deepfake” video that helped bring an african nation to the brink
Ali Breland · 2019
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Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Cited alongside, same era.
Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
Cited alongside, same era.
Embedding watermarks into deep neural networks
Yusuke Uchida, Yuki Nagai, Shigeyuki Sakazawa, and Shin’ichi Satoh · 2017
Cited alongside, same era.
Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, and Dimitris N. Metaxas · 2017
Cited alongside, same era.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
Cited alongside, same era.
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.
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2019
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Rethinking deep neural network ownership verification: Embedding passports to defeat ambiguity attacks
Lixin Fan, Kam Woh Ng, and Chee Seng Chan · 2019
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Combating deepfake videos using blockchain and smart contracts
Haya R Hasan and Khaled Salah · 2019
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Congress grapples with how to regulate deepfakes
Makena Kelly · 2019
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Adversarial frontier stitching for remote neural network watermarking
Erwan Le Merrer, Patrick Perez, and Gilles Trédan · 2019
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Do gans leave artificial fingerprints?
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, and Giovanni Poggi · 2019
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Experts: Spy used ai-generated face to connect with targets
Raphael Satter · 2019
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Dawn: Dynamic adversarial watermarking of neural networks
Sebastian Szyller, Buse Gul Atli, Samuel Marchal, and N Asokan · 2019
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Detecting photoshopped faces by scripting photoshop
Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, and Alexei A Efros · 2019
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Black-box watermarking for generative adversarial networks
Vladislav Skripniuk, Ning Yu, Sahar Abdelnabi, and Mario Fritz · 2020
Closest in time.
Model watermarking for image processing networks
Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, Hao Cui, and Nenghai Yu · 2020
Closest in time.