NAWE: Digital Watermarking with Neural-Assisted Watermark Extraction

arXiv:2609.25972 · cs.CV, cs.MM · Submitted 2026-09-22 · Read on arXiv

cs.CV, cs.MM

Submitted: 2026-09-22

Updated: 2026-09-22

Code: https://github.com/adobe/trustmark

Terminology

• Robustness — 8× in this paper · explained in 5 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Quantization — 6× in this paper · explained in 12 episodes
• Redundancy — 4× in this paper · explained in 2 episodes
• Neural-Assisted Watermark Extraction — 3× in this paper
• Aggregation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Decode — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Hamming Distance — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes

Sources

• Pixel Seal: Adversarial-only training for invisible image and video watermarking

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