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20242026
most citedVideoShield: Regulating Diffusion-based Video Generation Models via Watermarking

1 citations · 2 across the 10 of their papers we have counts for

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cs.CV2026

TRACE: Structure-Aware Character Encoding for Robust and Generalizable Document Watermarking

Jiale Meng, Jie Zhang, Runyi Hu +3

We propose TRACE, a structure-aware framework leveraging diffusion models for localized character encoding to embed data. Unlike existing methods that rely on edge features or pre-…

cs.CV2025

CoreMark: Toward Robust and Universal Text Watermarking Technique

Jiale Meng, Yiming Li, Zheming Lu +3

Text watermarking schemes have gained considerable attention in recent years, yet still face critical challenges in achieving simultaneous robustness, generalizability, and imperce…

cs.CV2025

When Memory Becomes a Vulnerability: Towards Multi-turn Jailbreak Attacks against Text-to-Image Generation Systems

Shiqian Zhao, Jiayang Liu, Yiming Li +9

Modern text-to-image (T2I) generation systems (e.g., DALLE 3) exploit the memory mechanism, which captures key information in multi-turn interactions for faithful generation…

cs.CV2025★ 1 cited

VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking

Runyi Hu, Jie Zhang, Yiming Li +4

Artificial Intelligence Generated Content (AIGC) has advanced significantly, particularly with the development of video generation models such as text-to-video (T2V) models and ima…

cs.CV2024

SuperMark: Robust and Training-free Image Watermarking via Diffusion-based Super-Resolution

Runyi Hu, Jie Zhang, Yiming Li +4

In today's digital landscape, the blending of AI-generated and authentic content has underscored the need for copyright protection and content authentication. Watermarking has beco…