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TrustMark: Universal Watermarking for Arbitrary Resolution Images
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TrustMark: Universal Watermarking for Arbitrary Resolution Images
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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.
Forward citations
Cited by 7 Pith papers
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Secure Seed-Based Multi-bit Watermarking for Diffusion Models from First Principles
A theoretical framework decouples diffusion model generation from watermark decisions, enabling SSB to reach any security-robustness-fidelity regime without model-specific empirical tests.
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ResGuard: Enhancing Robustness Against Known Original Attacks in Deep Watermarking
ResGuard makes deep-watermark residuals image-specific via a contrastive loss and KOA noise layer, restoring near-perfect extraction under residual-subtraction attacks that previously collapsed accuracy to chance.
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Are Watermarked Images Editable? SafeMark for Watermark-Preserving Text-Guided Image Editing
SafeMark integrates a thresholded watermark-decoding loss into diffusion editors to enable text-guided edits that preserve embedded watermarks with high bit accuracy.
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DeepSignature: Digitally Signed, Content-Encoding Watermarks for Robust and Transparent Image Authentication
DeepSignature embeds digitally signed content-encoding watermarks via neural networks for robust image authentication, source attribution, and latent-space tamper localization.
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Guidance Watermarking for Diffusion Models
Guidance watermarking steers diffusion denoising steps via gradients from an off-the-shelf watermark decoder to embed marks during generation, converting post-hoc schemes into in-generation ones while remaining comple...
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LoT-Pass: Long-term-robust Image Watermarking for Image to Video Generation
I2VWM uses video-like training distortions and optical-flow frame alignment to keep image watermarks decodable in AI-generated videos made from that image.
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SPFM-Net: Semantic-Prior-Guided Frequency-Constrained Mamba for Invisible Watermark Attack
SPFM-Net attacks invisible watermarks by reconstructing heavily masked images with a pretrained semantic model; it reports good removal on Stable Signature/HiDDeN but poor removal on Yu.
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