Cover Image

Towards A Correct Usage of Cryptography in Semantic Watermarks for Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Thietke, Jonas, Müller, Andreas, Lukovnikov, Denis, Fischer, Asja, Quiring, Erwin
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models
by: Müller, Andreas, et al.
Published: (2024)

On the Robustness of Watermarking for Autoregressive Image Generation
by: Müller, Andreas, et al.
Published: (2026)

ClusterMark: Towards Robust Watermarking for Autoregressive Image Generators with Visual Token Clustering
by: Lukovnikov, Denis, et al.
Published: (2025)

The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision
by: Müller, Andreas, et al.
Published: (2024)

On the Detection of Image-Scaling Attacks in Machine Learning
by: Quiring, Erwin, et al.
Published: (2023)

ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
by: Huang, Huayang, et al.
Published: (2024)

SWA-LDM: Toward Stealthy Watermarks for Latent Diffusion Models
by: Yang, Zhonghao, et al.
Published: (2025)

Removing Watermarks with Partial Regeneration using Semantic Information
by: Tallam, Krti, et al.
Published: (2025)

SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models
by: Yang, Yang, et al.
Published: (2026)

SWIFT: Semantic Watermarking for Image Forgery Thwarting
by: Evennou, Gautier, et al.
Published: (2024)

Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis
by: Maag, Kira, et al.
Published: (2024)

Learning to Watermark in the Latent Space of Generative Models
by: Rebuffi, Sylvestre-Alvise, et al.
Published: (2026)

AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error
by: Ricker, Jonas, et al.
Published: (2024)

mAVE: A Watermark for Joint Audio-Visual Generation Models
by: Si, Luyang, et al.
Published: (2026)

AGMark: Attention-Guided Dynamic Watermarking for Large Vision-Language Models
by: Li, Yue, et al.
Published: (2026)

AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images
by: Ricker, Jonas, et al.
Published: (2024)

ZK-WAGON: Imperceptible Watermark for Image Generation Models using ZK-SNARKs
by: Ramakrishnan, Aadarsh Anantha, et al.
Published: (2025)

Training-Free Watermarking for Autoregressive Image Generation
by: Tong, Yu, 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)

Tell-Tale Watermarks for Explanatory Reasoning in Synthetic Media Forensics
by: Chang, Ching-Chun, et al.
Published: (2025)

Invisible Image Watermarks Are Provably Removable Using Generative AI
by: Zhao, Xuandong, et al.
Published: (2023)

Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models
by: Gao, Kuofeng, et al.
Published: (2025)

PromptLA: Towards Integrity Verification of Black-box Text-to-Image Diffusion Models
by: Zhang, Zhuomeng, et al.
Published: (2024)

Image Watermarks are Removable Using Controllable Regeneration from Clean Noise
by: Liu, Yepeng, et al.
Published: (2024)

IConMark: Robust Interpretable Concept-Based Watermark For AI Images
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)

Layout-to-Image Generation with Localized Descriptions using ControlNet with Cross-Attention Control
by: Lukovnikov, Denis, et al.
Published: (2024)

DeMark: A Query-Free Black-Box Attack on Deepfake Watermarking Defenses
by: Song, Wei, et al.
Published: (2026)

Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances
by: Lu, Shilin, et al.
Published: (2024)

Rel-Zero: Harnessing Patch-Pair Invariance for Robust Zero-Watermarking Against AI Editing
by: Chen, Pengzhen, et al.
Published: (2026)

HMARK: Radioactive Multi-Bit Semantic-Latent Watermarking for Diffusion Models
by: Li, Kexin, et al.
Published: (2025)

Gradient Inversion of Federated Diffusion Models
by: Huang, Jiyue, et al.
Published: (2024)

Differentially Private Fine-Tuning of Diffusion Models
by: Tsai, Yu-Lin, et al.
Published: (2024)

CSF: Black-box Fingerprinting via Compositional Semantics for Text-to-Image Models
by: Lee, Junhoo, et al.
Published: (2026)

Guidance Watermarking for Diffusion Models
by: Gesny, Enoal, et al.
Published: (2025)

Watermarking Autoregressive Image Generation
by: Jovanović, Nikola, et al.
Published: (2025)

CtrlAttack: A Unified Attack on World-Model Control in Diffusion Models
by: Xu, Shuhan, et al.
Published: (2026)

Rethinking and Red-Teaming Protective Perturbation in Personalized Diffusion Models
by: Liu, Yixin, et al.
Published: (2024)

Backdoor Defense in Diffusion Models via Spatial Attention Unlearning
by: Jha, Abha, et al.
Published: (2025)

VideoEraser: Concept Erasure in Text-to-Video Diffusion Models
by: Xu, Naen, et al.
Published: (2025)