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The ability of image and video generation models to create photorealistic images has reached unprecedented heights, making it difficult to distinguish between real and fake images in many cases.
Content-based image retrieval for digital forensics
Yixin Chen, Vassil Roussev, G Richard, and Yun Gao · 2005
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Digital camera identification from sensor pattern noise
Jan Lukas, Jessica Fridrich, and Miroslav Goljan · 2006
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Digital image forensics
Jessica Fridrich · 2009
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Digital image authentication from jpeg headers
Eric Kee, Micah K Johnson, and Hany Farid · 2011
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Digital image forensics: a booklet for beginners
Judith A Redi, Wiem Taktak, and Jean-Luc Dugelay · 2011
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Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
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Yu Zeng, Huchuan Lu, and Ali Borji · 2017
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Mesonet: a compact facial video forgery detection network
Darius Afchar, Vincent Nozick, Junichi Yamagishi, and Isao Echizen · 2018
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Forensictransfer: Weakly-supervised domain adaptation for forgery detection
Davide Cozzolino, Justus Thies, Andreas Rössler, Christian Riess, Matthias Nießner, and Luisa Verdoliva · 2018
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Deepfake video detection using recurrent neural networks
David Güera and Edward J Delp · 2018
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The science of fake news
David MJ Lazer, Matthew A Baum, Yochai Benkler, Adam J Berinsky, Kelly M Greenhill, Filippo Menczer, Miriam J Metzger, Brendan Nyhan, Gordon Pennycook, David Rothschild, et al · 2018
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Exposing deepfake videos by detecting face warping artifacts
Yuezun Li and Siwei Lyu · 2018
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Fake faces identification via convolutional neural network
Huaxiao Mo, Bolin Chen, and Weiqi Luo · 2018
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Assessing generative models via precision and recall
Mehdi SM Sajjadi, Olivier Bachem, Mario Lucic, Olivier Bousquet, and Sylvain Gelly · 2018
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Pros and cons of gan evaluation measures
Ali Borji · 2019
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Deep fakes: A looming challenge for privacy, democracy, and national security
Bobby Chesney and Danielle Citron · 2019
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Detecting gan generated fake images using co-occurrence matrices
Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, Arjuna Flenner, Jawadul H Bappy, Amit K Roy-Chowdhury, and BS Manjunath · 2019
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Generative adversarial networks
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Perspective (in) consistency of paint by text
Hany Farid · 2022
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A very preliminary analysis of dall-e 2
Gary Marcus, Ernest Davis, and Scott Aaronson · 2022
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Deep learning for deepfakes creation and detection: A survey
Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen, Duc Thanh Nguyen, Thien Huynh-The, Saeid Nahavandi, Thanh Tam Nguyen, Quoc-Viet Pham, and Cuong M Nguyen · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 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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Media forensics and deepfakes: an overview
Luisa Verdoliva · 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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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
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Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms
Matyáš Boháček and Hany Farid · 2022
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Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
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Diffusiondb: A large-scale prompt gallery dataset for text-to-image generative models
Zijie J Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, and Duen Horng Chau · 2022
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Scaling autoregressive models for content-rich text-to-image generation
Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, et al · 2022
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Large scale qualitative evaluation of generative image model outputs
Yannick Assogba, Adam Pearce, and Madison Elliott · 2023
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A categorical archive of chatgpt failures
Ali Borji · 2023
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Florida: Fake-looking real images dataset
Ali Borji · 2023
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Beyond detection: Visual realism assessment of deepfakes
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