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Watermarking the outputs of generative models is a crucial technique for tracing copyright and preventing potential harm from AI-generated content.
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song and Stefano Ermon · 1907
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Robust Invisible Video Watermarking with Attention
Kevin Alex Zhang, Lei Xu, Alfredo Cuesta-Infante, and Kalyan Veeramachaneni · 1909
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Circularly symmetric watermark embedding in 2-D DFT domain
V. Solachidis and L. Pitas · 1941
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The Non-Central X X 2- and F-Distribution and their Applications
P. B. Patnaik · 1949
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Watermarking digital images for copyright protection
Francis Morgan Boland · 1996
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Secure spread spectrum watermarking for images, audio and video
I.J. Cox, J. Kilian, T. Leighton, and T. Shamoon · 1996
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Rotation, scale and translation invariant digital image watermarking
J.J.K. O’Ruanaidh and T. Pun · 1997
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A method for watermark casting on digital image
I. Pitas · 1998
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Fair benchmark for image watermarking systems
Martin Kutter and Fabien A. P. Petitcolas · 1999
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Watermarking digital image and video data. A state-of-the-art overview
G.C. Langelaar, I. Setyawan, and R.L. Lagendijk · 2000
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Monte Carlo Methods in Financial Engineering , volume 53 of Stochastic Modelling and Applied Probability
Paul Glasserman · 2003
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A robust image fingerprinting system using the Radon transform
Jin S Seo, Jaap Haitsma, Ton Kalker, and Chang D Yoo · 2003
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SVD-based digital image watermarking scheme
Chin-Chen Chang, Piyu Tsai, and Chia-Chen Lin · 2005
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Improved Techniques for Training Score-Based Generative Models
Yang Song and Stefano Ermon · 2006
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Combined DWT-DCT Digital Image Watermarking
Ali Al-Haj · 2007
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Digital Watermarking and Steganography
Ingemar Cox, Matthew Miller, Jeffrey Bloom, Jessica Fridrich, and Ton Kalker · 2007
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Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, and Mario Fritz · 2007
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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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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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Generating steganographic images via adversarial training
Improved Denoising Diffusion Probabilistic Models
Alex Nichol and Prafulla Dhariwal · 2021
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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, Gretchen Krueger, and Ilya Sutskever · 2021
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Certified Neural Network Watermarks with Randomized Smoothing
Arpit Bansal, Ping-Yeh Chiang, Michael J. Curry, Rajiv Jain, Curtis Wigington, Varun Manjunatha, John P. Dickerson, and Tom Goldstein · 2022
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Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, and Jenia Jitsev · 2022
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Supervised GAN Watermarking for Intellectual Property Protection
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Jamie Hayes and George Danezis · 2017
Cited alongside, same era.
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
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.
Protecting intellectual property of deep neural networks with watermarking
Jialong Zhang, Zhongshu Gu, Jiyong Jang, Hui Wu, Marc 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.
An Optimized Image Watermarking Method Based on HD and SVD in DWT Domain
Junxiu Liu, Jiadong Huang, Yuling Luo, Lvchen Cao, Su Yang, Duqu Wei, and Ronglong Zhou · 2019
Cited alongside, same era.
Denoising Diffusion Probabilistic Models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Jianwei Fei, Zhihua Xia, Benedetta Tondi, and Mauro Barni · 2022
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The Ethical Need for Watermarks in Machine-Generated Language
Alexei Grinbaum and Laurynas Adomaitis · 2022
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High-Resolution Image Synthesis With Latent Diffusion Models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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EDICT: Exact Diffusion Inversion via Coupled Transformations
Bram Wallace, Akash Gokul, and Nikhil Naik · 2022
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A comprehensive survey on robust image watermarking
Wenbo Wan, Jun Wang, Yunming Zhang, Jing Li, Hui Yu, and Jiande Sun · 2022
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The Stable Signature: Rooting Watermarks in Latent Diffusion Models
Pierre Fernandez, Guillaume Couairon, Hervé Jégou, Matthijs Douze, and Teddy Furon · 2023
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A Watermark for Large Language Models
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, and Tom Goldstein · 2023
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Securing deep generative models with universal adversarial signature
Yu Zeng, Mo Zhou, Yuan Xue, and Vishal M Patel · 2023
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On the Robustness of Diffusion Inversion in Image Manipulation
Jiaxin Zhang, Kamalika Das, and Sricharan Kumar · 2023
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A Recipe for Watermarking Diffusion Models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Ngai-Man Cheung, and Min Lin · 2023
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