RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification

Xia, X.G., Boncelet, C.G., Arce, G.R.: Wavelet transform based watermark for digital images. Optics Express 3

1998

Earlier work this paper cites.

Lin, C.Y., Wu, M., Bloom, J.A., Cox, I.J., Miller, M.L., Lui, Y.M.: Rotation, scale, and translation resilient watermarking for images. IEEE Transactions on image processing 10

2001

Earlier work this paper cites.

Steinberg, Y., Merhav, N.: Identification in the presence of side information with application to watermarking. IEEE Transactions on Information Theory 47

2001

Earlier work this paper cites.

Cox, I.: Digital watermarking and steganography. Morgan Kaufmann google schola 2

2007

Earlier work this paper cites.

Gonzalez, R.C., Woods, R.E.: Digital image processing. Pearson/Prentice Hall, Upper Saddle River, N.J;Harlow;, 3rd edn. (2008)

2008

Earlier work this paper cites.

Mitra, S.K.: Digital signal processing: a computer-based approach. McGraw-Hill Higher Education, London;New York;, 4th edn. (2011)

2011

Earlier work this paper cites.

Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft coco: Common objects in context. In: Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13. pp. 740–755. Springer (2014)

2014

Earlier work this paper cites.

Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems 30

2017

Earlier work this paper cites.

Uchida, Y., Nagai, Y., Sakazawa, S., Satoh, S.: Embedding watermarks into deep neural networks. In: Proceedings of the 2017 ACM on international conference on multimedia retrieval. pp. 269–277 (2017)

2017

Earlier work this paper cites.

Zhang, J., Gu, Z., Jang, J., Wu, H., Stoecklin, M.P., Huang, H., Molloy, I.: Protecting intellectual property of deep neural networks with watermarking. In: Proceedings of the 2018 on Asia conference on computer and communications security. pp. 159–172 (2018)

2018

Earlier work this paper cites.

Zhu, J., Kaplan, R., Johnson, J., Fei-Fei, L.: Hidden: Hiding data with deep networks. In: Proceedings of the European conference on computer vision (ECCV). pp. 657–672 (2018)

2018

Earlier work this paper cites.

Ci, H., Wang, C., Ma, X., Wang, Y.: Optimizing network structure for 3d human pose estimation. In: Proceedings of the IEEE/CVF international conference on computer vision. pp. 2262–2271 (2019)

2019

Earlier work this paper cites.

Zhang, K.A., Xu, L., Cuesta-Infante, A., Veeramachaneni, K.: Robust invisible video watermarking with attention. arXiv preprint arXiv:1909.01285 (2019)

Original

2019

Earlier work this paper cites.

Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Advances in neural information processing systems 33

2020

Earlier work this paper cites.

Kong, Z., Ping, W., Huang, J., Zhao, K., Catanzaro, B.: Diffwave: A versatile diffusion model for audio synthesis. arXiv preprint arXiv:2009.09761 (2020)

Original

2020

Earlier work this paper cites.

Song, J., Meng, C., Ermon, S.: Denoising diffusion implicit models. arXiv preprint arXiv:2010.02502 (2020)

Original

2020

Earlier work this paper cites.

Song, Y., Sohl-Dickstein, J., Kingma, D.P., Kumar, A., Ermon, S., Poole, B.: Score-based generative modeling through stochastic differential equations. arXiv preprint arXiv:2011.13456 (2020)

Original

2020

Earlier work this paper cites.

Tancik, M., Mildenhall, B., Ng, R.: Stegastamp: Invisible hyperlinks in physical photographs. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 2117–2126 (2020)

2020

Cited alongside, same era.

Dhariwal, P., Nichol, A.: Diffusion models beat gans on image synthesis. Advances in neural information processing systems 34

2021

Cited alongside, same era.

Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.: Learning transferable visual models from natural language supervision. In: International conference on machine learning. pp. 8748–8763. PMLR (2021)

2021

Cited alongside, same era.

Yu, N., Skripniuk, V., Abdelnabi, S., Fritz, M.: Artificial fingerprinting for generative models: Rooting deepfake attribution in training data. In: Proceedings of the IEEE/CVF International conference on computer vision. pp. 14448–14457 (2021)

2021

Cited alongside, same era.

Liu, R., Wu, R., Van Hoorick, B., Tokmakov, P., Zakharov, S., Vondrick, C.: Zero-1-to-3: Zero-shot one image to 3d object. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 9298–9309 (2023)

2023

Later among the works it cites.

Liu, Y., Li, Z., Backes, M., Shen, Y., Zhang, Y.: Watermarking diffusion model. arXiv preprint arXiv:2305.12502 (2023)

Original

2023

Later among the works it cites.

Luo, X., Li, Y., Chang, H., Liu, C., Milanfar, P., Yang, F.: Dvmark: a deep multiscale framework for video watermarking. IEEE Transactions on Image Processing (2023)

2023

Later among the works it cites.

Wen, Y., Kirchenbauer, J., Geiping, J., Goldstein, T.: Tree-ring watermarks: Fingerprints for diffusion images that are invisible and robust. arXiv preprint arXiv:2305.20030 (2023)

Original

2023

Later among the works it cites.