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arXiv · 2311.18297

TrustMark: Universal Watermarking for Arbitrary Resolution Images

Tu Bui·Shruti Agarwal·John Collomosse
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Abstract

Imperceptible digital watermarking is important in copyright protection, misinformation prevention, and responsible generative AI. We propose TrustMark - a GAN-based watermarking method with novel design in architecture and spatio-spectra losses to balance the trade-off between watermarked image quality with the watermark recovery accuracy. Our model is trained with robustness in mind, withstanding various in- and out-place perturbations on the encoded image. Additionally, we introduce TrustMark-RM - a watermark remover method useful for re-watermarking. Our methods achieve state-of-art performance on 3 benchmarks comprising arbitrary resolution images.

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Tu Bui, Shruti Agarwal, John Collomosse. 2023-11-30. TrustMark: Universal Watermarking for Arbitrary Resolution Images. https://arxiv.org/abs/2311.18297

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