Robust Watermarking

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17 papers in the last four weeks, up 143% on the four weeks before. 0.2% of all new papers.

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Vol-Mark: A Watermark for 3D Medical Volume Data Via Cubic Difference Expansion and Contrastive Learning
May 6, 2026Jiangnan Zhu, Yuntao Wang, Shengli Pan +13D Medical Imaging Robust Watermarking
Kyushu University, Fukuoka, Japan · The University of Electro-Communications, Tokyo, Japan · Beijing University of Posts and Telecommunications, Beijing, China
SWAN: Semantic Watermarking with Abstract Meaning Representation
May 5, 2026Ziping Ye, Gourab Dey, Christos Christodoulopoulos +7Text Watermarking LLM Watermarking
1Amazon · 2Information Commissioner’s Office · 3Meta +2
Repurposing and Evaluating the (In)Feasibility of Dataset Poisoning enabled Watermarking for Contrastive Learning
May 3, 2026Zhiyang Dai, Yansong Gao, Boyu Kuang +5Contrastive Learning Dataset Watermarking
School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China · University of Western Australia, Perth, Australia · College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China +3
MelShield: Robust Mel-Domain Audio Watermarking for Provenance Attribution of AI Generated Synthesized Speech
May 2, 2026Yutong Jin, Qi Li, Lingshuang Liu +1Audio Watermarking Robust Watermarking
Department of Electrical and Computer Engineering, Queen’s University, Kingston, ON, Canada · Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada
CSGuard: Toward Forgery-Resistant Watermarking in Diffusion Models via Compressed Sensing Constraint
May 2, 2026Jiewei Lai, Lan Zhang, Chen Tang +4Diffusion Model Watermarking Compressed Sensing
University of Science and Technology of China · Institute of Artificial Intelligence, Hefei Comprehensive National Science Center · Lenovo Research
Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking
May 1, 2026Joeun Kim, HoEun Kim, Dongsup Jin +1Text Watermarking LLM Watermarking
Department of AI, DGIST, Daegu, Republic of Korea · Department of ICT Convergence, University of Ulsan, Ulsan, Republic of Korea · Department of EECS, DGIST, Daegu, Republic of Korea
GIFGuard: Proactive Forensics against Deepfakes in Facial GIFs via Spatiotemporal Watermarking
Apr 29, 2026Shupeng Che, Zhiqing Guo, Changtao Miao +2Digital Image Forensics Deepfake Detection
School of Computer Science and Technology, Xinjiang University · Ant Group · College of Computer Science and Electronic Engineering, Hunan University
Whether, Which, and Whose: Solving the Triple Challenge of Deepfake Proactive Forensics in Multi-Face Scenarios
Apr 29, 2026Lei Zhang, Zhiqing Guo, Dan Ma +2Digital Forensics Image Forgery Localization
School of Computer Science and Technology, Xinjiang University, Urumqi, 830017, China · Xinjiang Multimodal Intelligent Processing and Information Security Engineering Technology Research Center, Urumqi, 830017, China · College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China
The Forensic Cost of Watermark Removal: From Dedicated Attacks to Image Editing
Apr 28, 2026Gautier Evennou, Ewa KijakWatermark Removal Digital Image Forensics
IMATAG · IRISA, Univ. Rennes, INRIA, CNRS
LAVA: Layered Audio-Visual Anti-tampering Watermarking for Robust Deepfake Detection and Localization
Apr 27, 2026Bokang Zeng, Zheng Gao, Xiaoyu Li +2Audio Watermarking Deepfake Detection
School of Computer Science and Engineering UNSW Sydney Sydney, Australia · School of Information and Communication Technology Griffith University Brisbane, Australia
DeepSignature: Digitally Signed, Content-Encoding Watermarks for Robust and Transparent Image Authentication
Apr 24, 2026Mathias Graf, Marco Willi, Melanie Mathys +4Image Forgery Detection Digital Image Forensics
Institute for Data Science, FHNW · Institute for Data Science, FHNW & ETH Zürich
ArmSSL: Adversarial Robust Black-Box Watermarking for Self-Supervised Learning Pre-trained Encoders
Apr 24, 2026Yongqi Jiang, Yansong Gao, Boyu Kuang +3Self-Supervised Learning Robust Watermarking
Nanjing University of Science and Technology, China · The University of Western Australia, Australia · Zhejiang University, China +1
Splats in Splats++: Robust and Generalizable 3D Gaussian Splatting Steganography
Apr 17, 2026Yijia Guo, Wenkai Huang, Tong Hu +93D Gaussian Splatting Robust Watermarking
State Key Laboratory of Multimedia Information Processing and National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, 100871, China · Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, School of Computer Science, Shanghai Jiao Tong University, Shanghai 200240, China · National Biomedical Imaging Center, College of Future Technology, Peking University, Beijing, 100871, China +2
Making Separation-First Multi-Stream Audio Watermarking Feasible via Joint Training
Mar 17, 2026Houmin Sun, Zi Hu, Linxi Li +4Audio Watermarking Robust Watermarking
Digital Innovation Research Center, Duke Kunshan University, Kunshan, China · OfSpectrum, Inc., Los Angeles, USA · University of Warwick, Coventry, United Kingdom +1
Latent-Mark: An Audio Watermark Robust to Neural Codec Compression
Mar 5, 2026Yen-Shan Chen, Shih-Yu Lai, Ying-Jung Tsou +5Audio Watermarking Robust Watermarking
National Taiwan University, Taiwan · RIKEN Center for Computational Science (RIKEN-CCS), Japan · MoonShine Animation Studio, Taiwan +1
AGMark: Attention-Guided Dynamic Watermarking for Large Vision-Language Models
Feb 10, 2026Yue Li, Xin Yi, Dongsheng Shi +3Large Vision-Language Models Robust Watermarking
East China Normal University Shanghai, China · Hasso Plattner Institute Potsdam, Germany · University of Potsdam Potsdam, Germany +1
Watermarking Diffusion Language Models
Sep 29, 2025Thibaud Gloaguen, Robin Staab, Nikola Jovanović +1Diffusion Model Watermarking LLM Watermarking
ETH Zurich
LoT-Pass: Long-term-robust Image Watermarking for Image to Video Generation
Sep 22, 2025Guanjie Wang, Zehua Ma, Han Fang +1Diffusion Model Watermarking Image-to-Video Generation
University of Science and Technology of China
CertDW: Towards Certified Dataset Ownership Verification via Conformal Calibration
Jun 16, 2025Ting Qiao, Yiming Li, Jianbin Li +5Dataset Watermarking Robust Watermarking
School of Control and Computer Engineering, North China Electric Power University, Beijing,102206, China · College of Computing and Data Science, Nanyang Technological University, Singapore, 639798, Singapore · School of Cybersecurity, Northwestern Polytechnical University, Xi’an, 710072, China +2
TraceMark-LDM: Authenticatable Watermarking for Latent Diffusion Models via Binary-Guided Rearrangement
Mar 30, 2025Wenhao Luo, Zhangyi Shen, Ye Yao +3Diffusion Model Watermarking Latent Diffusion Models
Hangzhou Dianzi University, Hangzhou, ZJ 310018, China · Nanchang University, Nanchang, JX 330031, China · School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China +1
X-SG $^2$ S: Safe and Generalizable Gaussian Splatting with X-dimensional Watermarks
Feb 13, 2025Zihang Cheng, Wentao Bao, Huiping Zhuang +63D Gaussian Splatting Multimodal Embedding
South China University of Technology · Shenzhen MSU-BIT University · Peking University +1
LVMark: Robust Watermark for Latent Video Diffusion Models
Dec 12, 2024Youngdong Jang, MinHyuk Jang, JaeHyeok Lee +4Diffusion Model Watermarking Video Diffusion Models
Department of Artificial Intelligence, Korea University, Seoul 02841, Republic of Korea · Google DeepMind, Mountain View, CA 94043, USA
GENIE: Watermarking Graph Neural Networks for Link Prediction
Jun 7, 2024Venkata Sai Pranav Bachina, Aaryan Ajay Sharma, Ankit Gangwal +1Graph Neural Networks Robust Watermarking
IIIT Hyderabad, India
Optimizing watermarks for large language models
Dec 28, 2023Bram WoutersLLM Watermarking Robust Watermarking
University of Amsterdam
Is Multilingual LLM Watermarking Truly Multilingual? Scaling Robustness to 100+ Languages via Back-Translation
Date pendingAsim Mohamed, Martin GubriMultilingual Language Model Evaluation LLM Watermarking
Parameter Lab · École Polytechnique, IP Paris, CNRS
SAC-Copula: Quality-Preserving Watermarking for Diffusion Language Models via Smooth Correlated Gumbel Fields
Date pendingBaixin Li, Haiyun HeDiffusion Model Watermarking LLM Watermarking
The Hong Kong University of Science and Technology (Guangzhou)

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Vol-Mark: A Watermark for 3D Medical Volume Data Via Cubic Difference Expansion and Contrastive Learning

Jiangnan Zhu, Yuntao Wang, Shengli Pan, Yujie Gu

Kyushu University, Fukuoka, Japan · The University of Electro-Communications, Tokyo, Japan · Beijing University of Posts and Telecommunications, Beijing, China

3D Medical Imaging Robust Watermarking

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Today, advances in medical technology extensively utilize 3D volume data for accurate and efficient diagnostics. However, sharing these data across networks in telemedicine poses significant security risks of data tampering and unauthorized copying. To address these challenges, this paper proposes a novel reversible-zero watermarking approach, termed Vol-Mark, for medical volume data to protect their ownership and authenticity in telemedicine. The proposed Vol-Mark method offers two key benefits: 1) it designs a volume data feature extractor that leverages contrastive learning to efficiently extract discriminative and stable volumetric features, ensuring robustness against 3D attacks; 2) it introduces the cubic difference expansion (c-DE) technique, which leverages the 3D integer wavelet transform to embed watermark bits into neighboring voxels within cubes at low-frequency coefficients. The voxel differences within each cube are expanded to create embedding space, and a majority voting mechanism is employed during extraction to enhance reliability. The embedding process incurs low distortion and supports lossless removal, thereby preserving the integrity and diagnostic accuracy of medical volume data. Through these two benefits, Vol-Mark enables both integrity verification and ownership verification. Integrity verification is first performed, and ownership verification through hypothesis testing is further conducted to enhance reliability, particularly under data tampering or watermark removal attacks. Comprehensive experimental results show the effectiveness of the proposed method and its superior robustness against conventional, geometric, and hybrid attacks on medical volume data. In particular, through multiple tasks evaluations, Vol-Mark consistently achieves an ACC above 0.90 in most attack scenarios, outperforming existing methods by a clear margin.

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