mAVE: A Watermark for Joint Audio-Visual Generation Models
Fuente:
arXiv
Saved in:
| Main Authors: | Si, Luyang, Pan, Leyi, Wen, Lijie |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Training-Free Watermarking for Autoregressive Image Generation
by: Tong, Yu, et al.
Published: (2025)
by: Tong, Yu, et al.
Published: (2025)
Learning to Watermark in the Latent Space of Generative Models
by: Rebuffi, Sylvestre-Alvise, et al.
Published: (2026)
by: Rebuffi, Sylvestre-Alvise, et al.
Published: (2026)
SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models
by: Yang, Yang, et al.
Published: (2026)
by: Yang, Yang, et al.
Published: (2026)
On the Robustness of Watermarking for Autoregressive Image Generation
by: Müller, Andreas, et al.
Published: (2026)
by: Müller, Andreas, et al.
Published: (2026)
ZK-WAGON: Imperceptible Watermark for Image Generation Models using ZK-SNARKs
by: Ramakrishnan, Aadarsh Anantha, et al.
Published: (2025)
by: Ramakrishnan, Aadarsh Anantha, et al.
Published: (2025)
Invisible Image Watermarks Are Provably Removable Using Generative AI
by: Zhao, Xuandong, et al.
Published: (2023)
by: Zhao, Xuandong, et al.
Published: (2023)
Towards A Correct Usage of Cryptography in Semantic Watermarks for Diffusion Models
by: Thietke, Jonas, et al.
Published: (2025)
by: Thietke, Jonas, et al.
Published: (2025)
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models
by: Müller, Andreas, et al.
Published: (2024)
by: Müller, Andreas, et al.
Published: (2024)
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
by: Huang, Huayang, et al.
Published: (2024)
by: Huang, Huayang, et al.
Published: (2024)
DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling
by: Li, Boheng, et al.
Published: (2025)
by: Li, Boheng, et al.
Published: (2025)
AGMark: Attention-Guided Dynamic Watermarking for Large Vision-Language Models
by: Li, Yue, et al.
Published: (2026)
by: Li, Yue, et al.
Published: (2026)
Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances
by: Lu, Shilin, et al.
Published: (2024)
by: Lu, Shilin, et al.
Published: (2024)
Removing Watermarks with Partial Regeneration using Semantic Information
by: Tallam, Krti, et al.
Published: (2025)
by: Tallam, Krti, et al.
Published: (2025)
Watermarking Autoregressive Image Generation
by: Jovanović, Nikola, et al.
Published: (2025)
by: Jovanović, Nikola, et al.
Published: (2025)
Hot-Swap MarkBoard: An Efficient Black-box Watermarking Approach for Large-scale Model Distribution
by: Zhang, Zhicheng, et al.
Published: (2025)
by: Zhang, Zhicheng, et al.
Published: (2025)
Tell-Tale Watermarks for Explanatory Reasoning in Synthetic Media Forensics
by: Chang, Ching-Chun, et al.
Published: (2025)
by: Chang, Ching-Chun, et al.
Published: (2025)
DeMark: A Query-Free Black-Box Attack on Deepfake Watermarking Defenses
by: Song, Wei, et al.
Published: (2026)
by: Song, Wei, et al.
Published: (2026)
Image Watermarks are Removable Using Controllable Regeneration from Clean Noise
by: Liu, Yepeng, et al.
Published: (2024)
by: Liu, Yepeng, et al.
Published: (2024)
IConMark: Robust Interpretable Concept-Based Watermark For AI Images
by: Sadasivan, Vinu Sankar, et al.
Published: (2025)
by: Sadasivan, Vinu Sankar, et al.
Published: (2025)
X-SG$^2$S: Safe and Generalizable Gaussian Splatting with X-dimensional Watermarks
by: Cheng, Zihang, et al.
Published: (2025)
by: Cheng, Zihang, et al.
Published: (2025)
Rel-Zero: Harnessing Patch-Pair Invariance for Robust Zero-Watermarking Against AI Editing
by: Chen, Pengzhen, et al.
Published: (2026)
by: Chen, Pengzhen, et al.
Published: (2026)
SWIFT: Semantic Watermarking for Image Forgery Thwarting
by: Evennou, Gautier, et al.
Published: (2024)
by: Evennou, Gautier, et al.
Published: (2024)
PuFace: Defending against Facial Cloaking Attacks for Facial Recognition Models
by: Wen, Jing
Published: (2024)
by: Wen, Jing
Published: (2024)
SWA-LDM: Toward Stealthy Watermarks for Latent Diffusion Models
by: Yang, Zhonghao, et al.
Published: (2025)
by: Yang, Zhonghao, et al.
Published: (2025)
Detection Limits and Statistical Separability of Tree Ring Watermarks in Rectified Flow-based Text-to-Image Generation Models
by: Umrajkar, Ved, et al.
Published: (2025)
by: Umrajkar, Ved, et al.
Published: (2025)
Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding
by: Jang, Jonggyu, et al.
Published: (2024)
by: Jang, Jonggyu, et al.
Published: (2024)
On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression
by: Zhang, Xinwei, et al.
Published: (2026)
by: Zhang, Xinwei, et al.
Published: (2026)
Watermark-based Attribution of AI-Generated Content
by: Jiang, Zhengyuan, et al.
Published: (2024)
by: Jiang, Zhengyuan, et al.
Published: (2024)
Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
by: Souček, Tomáš, et al.
Published: (2025)
by: Souček, Tomáš, et al.
Published: (2025)
CGCE: Classifier-Guided Concept Erasure in Generative Models
by: Nguyen, Viet, et al.
Published: (2025)
by: Nguyen, Viet, et al.
Published: (2025)
Watertox: The Art of Simplicity in Universal Attacks A Cross-Model Framework for Robust Adversarial Generation
by: Gao, Zhenghao, et al.
Published: (2024)
by: Gao, Zhenghao, et al.
Published: (2024)
VideoMarkBench: Benchmarking Robustness of Video Watermarking
by: Jiang, Zhengyuan, et al.
Published: (2025)
by: Jiang, Zhengyuan, et al.
Published: (2025)
RoboSignature: Robust Signature and Watermarking on Network Attacks
by: Shaan, Aryaman, et al.
Published: (2024)
by: Shaan, Aryaman, et al.
Published: (2024)
PLA: Prompt Learning Attack against Text-to-Image Generative Models
by: Lyu, Xinqi, et al.
Published: (2025)
by: Lyu, Xinqi, et al.
Published: (2025)
ICAS: Detecting Training Data from Autoregressive Image Generative Models
by: Yu, Hongyao, et al.
Published: (2025)
by: Yu, Hongyao, et al.
Published: (2025)
Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning
by: Li, Boheng, et al.
Published: (2025)
by: Li, Boheng, et al.
Published: (2025)
Watermarks Attack Watermarks: Re-Watermarking as a Generic Removal Strategy
by: Bulychev, Maria, et al.
Published: (2026)
by: Bulychev, Maria, et al.
Published: (2026)
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization
by: Dang, Pucheng, et al.
Published: (2024)
by: Dang, Pucheng, et al.
Published: (2024)
Image-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial Instructions
by: Nagaraja, Neha, et al.
Published: (2026)
by: Nagaraja, Neha, et al.
Published: (2026)
Rotation-Invariant Spherical Watermarking via Third-Order SO(3) Representation Coupling
by: Chen, Pengzhen, et al.
Published: (2026)
by: Chen, Pengzhen, et al.
Published: (2026)
Similar Items
-
Training-Free Watermarking for Autoregressive Image Generation
by: Tong, Yu, et al.
Published: (2025) -
Learning to Watermark in the Latent Space of Generative Models
by: Rebuffi, Sylvestre-Alvise, et al.
Published: (2026) -
SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models
by: Yang, Yang, et al.
Published: (2026) -
On the Robustness of Watermarking for Autoregressive Image Generation
by: Müller, Andreas, et al.
Published: (2026) -
ZK-WAGON: Imperceptible Watermark for Image Generation Models using ZK-SNARKs
by: Ramakrishnan, Aadarsh Anantha, et al.
Published: (2025)