Overview

Watermark removal studies how edits can erase or weaken embedded signals used to identify generated or copyrighted content across text, images, and audio. Approaches include paraphrasing and rewriting, image reconstruction and frequency or latent-space manipulation, diffusion-based regeneration, and speech enhancement. Evaluations measure whether detectors still recognize the mark alongside content quality, semantic preservation, and whether forensic methods can detect the removal itself. The central tension is that attacks aim to remove marks with minimal damage, while stronger watermarks must withstand diverse edits without degrading the content they protect.

Latest papers

CardsList

40 papers7 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. FiLM-CAM: Keyed Feature Modulation for Conditional-Access Watermarking

    Oct 21, 2026Yash Kulthe, Vishal Asnani, Shruti Agarwal +2Watermark Removal

  2. Erase the Mark, Preserve the Motion: Temporally Consistent Removal of Video Watermarks

    Oct 15, 2026Yifan Liao, Zhen Sun, Zhicong Huang +6Watermark RemovalRobust Watermarking

  3. LiBRA: Detection-Aware Image Watermark Removal via Bidirectional Latent Optimization

    Oct 2, 2026Saibo Ye, Huajie Chen, Xin Guo +5Watermark RemovalAI-Generated Image Watermarking

  4. Exploring Weaknesses of Generative Image Watermarks against Latent Frequency Masking

    Oct 1, 2026Kirill Aistov, Khaled Abud, Irina Serzhenko +8Diffusion Model WatermarkingWatermark Removal

  5. WARP: A Unified Benchmark for Invisible Image Watermarking -- Robustness and Protection Against Attacks

    Sep 30, 2026Khaled Abud, Aleksey Yakushev, Aleksandr Akimenkov +9Watermark RemovalRobust Watermarking

  6. FeatMark: Feature-level Watermark Protection against Mimicry Attacks with Diffusion Models

    Sep 25, 2026Haoyang Li, Ruoxi Sun, Qingqing Ye +4AI-Generated Image WatermarkingDiffusion Model Watermarking

  7. The Vulnerability of Neural Audio Watermarks under Speech Enhancement

    Sep 24, 2026Xincong Zhong, Shengyao Wang, Lingfeng Yao +4Watermark RemovalAudio Watermarking

  8. Where Does the Watermark Hide? Push-Pull Disentanglement for Invisible Watermark Removal

    Sep 22, 2026Jidong Yang, Huaike Yu, Qi Li +4Watermark RemovalDisentangled Representation Learning

  9. RemTraceNet: Few-Shot Forensic Detection of Invisible Watermark Attacks

    Sep 18, 2026Jidong Yang, Huaike Yu, Qi Li +6Watermark Removal DetectionDigital Image Forensics

  10. Disentangle and Drop: Robust Universal Removal of Image Watermarks via Reconstructive Grayscale Residual Decomposition

    Sep 18, 2026Qi Li, Jidong Yang, Feng-Lei Fan +7Watermark RemovalRobust Watermarking

  11. DRIFT: Removing Diffusion Watermarks by Deflecting the Generative Trajectory

    Sep 8, 2026Rui Bao, Zheng Gao, Xiaoyu Li +3Diffusion Model WatermarkingWatermark Removal

  12. One Prompt Is Enough: Watermark Laundering Through Foundation Image Models

    Sep 1, 2026Jidong Yang, Qi Li, Wei Zong +5Watermark RemovalRobust Watermarking

  13. Semantic Watermarking with Order-Robust Detection over Sub-sentence Units

    Aug 27, 2026Abdulrahman Diaa, Jonathan Petit, Florian KerschbaumText WatermarkingRobust Watermarking

  14. MarkNull: Model-Agnostic Watermark Removal in AI-Generated Images via On-Manifold Latent Manipulation

    Aug 10, 2026Jie Cao, Qi Li, Zelin Zhang +4Watermark RemovalRobust Watermarking

  15. SPFM-Net: Semantic-Prior-Guided Frequency-Constrained Mamba for Invisible Watermark Attack

    Jul 30, 2026Chunpeng Wang, Yanan Shi, Zhiqiu Xia +3Watermark Removal

  16. FDDWAN: A Frequency-Decoupled Diffusion Network for Watermarking Attack

    Jul 30, 2026Chunpeng Wang, Yuxin Li, Xiaoyu Wang +3Watermark Removal

  17. AI Watermark Evidence Fails Forensic Readiness: An Empirical Evaluation

    Jul 17, 2026Saifur Rahman Tamim, Amir Labib KhanWatermark RemovalText Watermarking

  18. Learning to Evade: Adaptive Attacks on Audio Watermarking

    Jun 21, 2026Weikang Ding, Hanqing Guo, Rui Duan +4Watermark RemovalAudio Watermarking

  19. T2S: A Rehearsal-Based Approach for Extraction-Resistant Model Watermarking

    Jun 10, 2026Jian-Ping Mei, Weibin Zhang, Ao Yao +2Watermark RemovalModel Extraction Attacks

  20. Audio Pirates: Black-box Audio Watermark Removal via Diffusion Priors

    May 28, 2026Lingfeng Yao, Xincong Zhong, Chenpei Huang +6Watermark RemovalAudio Watermarking

  21. Linear Ensembles Wash Away Watermarks: On the Fragility of Distributional Perturbations in LLMs

    May 28, 2026Zhihao Wu, Gracia Gong, Qinglin Zhu +2Watermark RemovalLLM Watermarking

  22. Watermarks Attack Watermarks: Re-Watermarking as a Generic Removal Strategy

    May 16, 2026Maria Bulychev, Neil G. Marchant, Benjamin I. P. RubinsteinWatermark RemovalDigital Image Forensics

  23. Vaporizer: Breaking Watermarking Schemes for Large Language Model Outputs

    May 8, 2026Jonathan Hong Jin Ng, Anh Tu Ngo, Anupam ChattopadhyayWatermark RemovalLLM Watermarking

  24. Chainwash: Multi-Step Rewriting Attacks on Diffusion Language Model Watermarks

    May 6, 2026Mohd Ruhul Ameen, Akif Islam, Nadim Mahmud +1Diffusion Model WatermarkingWatermark Removal

  25. The Forensic Cost of Watermark Removal: From Dedicated Attacks to Image Editing

    Apr 28, 2026Gautier Evennou, Ewa KijakWatermark RemovalDigital Image Forensics