On the Intrinsic Limited Robustness of Latent-Based Watermarking
cs.LG, cs.CR
Submitted: 2026-10-06
Updated: 2026-10-06
Code: https://github.com/pytorch/vision
Terminology
Sources
- Hidden in the Noise: Two-Stage Robust Watermarking for Images
- WMAdapter: Adding WaterMark Control to Latent Diffusion Models
- RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification
- SLICE: Semantic Latent Injection via Compartmentalized Embedding for Image Watermarking
- An Undetectable Watermark for Generative Image Models
- Generalization in diffusion models arises from geometry-adaptive harmonic representations
- Robust and interpretable blind image denoising via bias-free convolutional neural networks
- Learning to Watermark in the Latent Space of Generative Models
- Pixel Seal: Adversarial-only training for invisible image and video watermarking
- Towards Robust Content Watermarking Against Removal and Forgery Attacks
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