Ali Al-Haj. Combined DWT-DCT Digital Image Watermarking. Journal of Computer Science, 3 (9):740-746, September 2007. ISSN 15493636. doi: 10.3844/jcssp.2007.740.746. URL http://www.thescipub.com/abstract/?doi=jcssp.2007.740.746.
Arpit Bansal, Ping-Yeh Chiang, Michael J. Curry, Rajiv Jain, Curtis Wigington, Varun Manjunatha, John P. Dickerson, and Tom Goldstein. Certified Neural Network Watermarks with Randomized Smoothing. In Proceedings of the 39th International Conference on Machine Learning, pages 1450-1465. PMLR, June 2022. URL https://proceedings.mlr.press/v162/bansal22a.html.
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, FAccT '21, pages 610-623, New York, NY, USA, March 2021. Association for Computing Machinery. ISBN 978-1-4503-8309-7. doi: 10.1145/3442188.3445922. URL https://doi.org/10.1145/3442188.3445922.
Francis Morgan Boland. Watermarking digital images for copyright protection. 1996. URL http://www.tara.tcd.ie/handle/2262/19682.
Chin-Chen Chang, Piyu Tsai, and Chia-Chen Lin. SVD-based digital image watermarking scheme. Pattern Recognition Letters, 26(10):1577-1586, July 2005. ISSN 0167-8655. doi: 10.1016/j.patrec.2005.01.004. URL https://www.sciencedirect.com/science/article/pii/S0167865505000140.
Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, and Jenia Jitsev. Reproducible scaling laws for contrastive language-image learning. ArXiv, abs/2212.07143, 2022.
I.J. Cox, J. Kilian, T. Leighton, and T. Shamoon. Secure spread spectrum watermarking for images, audio and video. Proceedings of 3rd IEEE International Conference on Image Processing, 3:243-246, 1996. doi: 10.1109/ICIP.1996.560429. URL http://ieeexplore.ieee.org/document/560429/.
Ingemar Cox, Matthew Miller, Jeffrey Bloom, Jessica Fridrich, and Ton Kalker. Digital Watermarking and Steganography. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2 edition, 2007. ISBN 9780080555805.
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. Imagenet: A large-scale hierarchical image database. In 2009 IEEE Conference on Computer Vision and Pattern Recognition, pages 248-255, 2009. doi: 10.1109/CVPR.2009.5206848.
Prafulla Dhariwal and Alex Nichol. Diffusion Models Beat GANs on Image Synthesis. arxiv:2105.05233[cs, stat], June 2021. doi: 10.48550/arXiv.2105.05233. URL http://arxiv.org/abs/2105.05233.
Jianwei Fei, Zhihua Xia, Benedetta Tondi, and Mauro Barni. Supervised GAN Watermarking for Intellectual Property Protection. arxiv:2209.03466[cs], September 2022. doi: 10.48550/arXiv.2209.03466. URL http://arxiv.org/abs/2209.03466.
Pierre Fernandez, Guillaume Couairon, Hervé Jégou, Matthijs Douze, and Teddy Furon. The Stable Signature: Rooting Watermarks in Latent Diffusion Models. arxiv:2303.15435[cs], March 2023. doi: 10.48550/arXiv.2303.15435. URL http://arxiv.org/abs/2303.15435.
Paul Glasserman. Monte Carlo Methods in Financial Engineering, volume 53 of Stochastic Modelling and Applied Probability. Springer, New York, NY, 2003. ISBN 978-1-4419-1822-2 978-0-387-21617-1. doi: 10.1007/978-0-387-21617-1. URL http://link.springer.com/10.1007/978-0-387-21617-1.
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial nets. In Z. Ghahramani, M. Welling, C. Cortes, N. Lawrence, and K.Q. Weinberger, editors, Advances in Neural Information Processing Systems, volume 27. Curran Associates, Inc., 2014. URL https://proceedings.neurips.cc/paper_files/paper/2014/file/5ca3e9b122f61f8f06494c97b1afccf3-Paper.pdf.