RemTraceNet: Few-Shot Forensic Detection of Invisible Watermark Attacks

arXiv:2609.31694 · cs.CV, cs.CR · Submitted 2026-09-18 · Read on arXiv

cs.CV, cs.CR

Submitted: 2026-09-18

Updated: 2026-09-18

Terminology

• Verification — 13× in this paper · explained in 2 episodes
• Trace — 11× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Provenance — 5× in this paper · explained in 3 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
• WMCopier: Forging Invisible Image Watermarks on Arbitrary Images
• Evading Watermark based Detection of AI-Generated Content
• Image Watermarks are Removable Using Controllable Regeneration from Clean Noise
• Leveraging Optimization for Adaptive Attacks on Image Watermarks
• StegaStamp: Invisible Hyperlinks in Physical Photographs
• Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models
• Robust Invisible Video Watermarking with Attention
• Invisible Image Watermarks Are Provably Removable Using Generative AI

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models