Image de couverture de livre

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cui, Yingqian, Ren, Jie, Lin, Yuping, Xu, Han, He, Pengfei, Xing, Yue, Lyu, Lingjuan, Fan, Wenqi, Liu, Hui, Tang, Jiliang
Format:	Preprint
Publié:	2023
Sujets:	Computer Vision and Pattern Recognition Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations
par: Ren, Jie, et autres
Publié: (2024)

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
par: Cui, Yingqian, et autres
Publié: (2023)

Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models
par: Ren, Jie, et autres
Publié: (2024)

Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention
par: Ren, Jie, et autres
Publié: (2024)

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
par: Ren, Jie, et autres
Publié: (2023)

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
par: Wang, Zhenting, et autres
Publié: (2023)

Sharpness-Aware Data Poisoning Attack
par: He, Pengfei, et autres
Publié: (2023)

Stealthy Backdoor Attack via Confidence-driven Sampling
par: He, Pengfei, et autres
Publié: (2023)

SoK: Machine Unlearning for Large Language Models
par: Ren, Jie, et autres
Publié: (2025)

Copyright Protection in Generative AI: A Technical Perspective
par: Ren, Jie, et autres
Publié: (2024)

ExpShield: Safeguarding Web Text from Unauthorized Crawling and LLM Exploitation
par: Liu, Ruixuan, et autres
Publié: (2024)

Data Poisoning for In-context Learning
par: He, Pengfei, et autres
Publié: (2024)

Superiority of Multi-Head Attention in In-Context Linear Regression
par: Cui, Yingqian, et autres
Publié: (2024)

Safeguarding Text-to-Image Generative Models Against Unauthorized Knowledge Distillation
par: Gao, Yilan, et autres
Publié: (2026)

RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model
par: Shi, Zhuan, et autres
Publié: (2024)

Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
par: Zhao, Shuai, et autres
Publié: (2024)

EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models
par: Chen, Ruoxi, et autres
Publié: (2023)

Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
par: Zeng, Shenglai, et autres
Publié: (2024)

Multi-Faceted Studies on Data Poisoning can Advance LLM Development
par: He, Pengfei, et autres
Publié: (2025)

SPARE: Securing Progressive Web Applications Against Unauthorized Replications
par: Talukder, Sajib, et autres
Publié: (2025)

A UEFI System with SPDM to Protect Against Unauthorized Device Connections
par: de Freitas, Ágatha, et autres
Publié: (2026)

Robustness of Watermarking on Text-to-Image Diffusion Models
par: Wu, Xiaodong, et autres
Publié: (2024)

Encrypted Prompt: Securing LLM Applications Against Unauthorized Actions
par: Chan, Shih-Han
Publié: (2025)

Evidencing Unauthorized Training Data from AI Generated Content using Information Isotopes
par: Tao, Qi, et autres
Publié: (2025)

Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning
par: Li, Shen, et autres
Publié: (2024)

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning
par: Zou, Muqi, et autres
Publié: (2025)

Unveiling Privacy Risks in LLM Agent Memory
par: Wang, Bo, et autres
Publié: (2025)

Vanishing Watermarks: Diffusion-Based Image Editing Undermines Robust Invisible Watermarking
par: Guo, Fan, et autres
Publié: (2026)

LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models
par: Wang, Yaopeng, et autres
Publié: (2026)

Safeguarding Voice Privacy: Harnessing Near-Ultrasonic Interference To Protect Against Unauthorized Audio Recording
par: McKee, Forrest, et autres
Publié: (2024)

MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning
par: Liu, Yixin, et autres
Publié: (2023)

Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-based LLMs
par: Li, Jinmin, et autres
Publié: (2024)

PT-Mark: Invisible Watermarking for Text-to-image Diffusion Models via Semantic-aware Pivotal Tuning
par: Wang, Yaopeng, et autres
Publié: (2025)

ModelShield: Adaptive and Robust Watermark against Model Extraction Attack
par: Pang, Kaiyi, et autres
Publié: (2024)

Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial Attacks
par: Chang, Chen-Wei, et autres
Publié: (2025)

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems
par: He, Pengfei, et autres
Publié: (2025)

Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy
par: Fu, Yu, et autres
Publié: (2023)

UniASM: Binary Code Similarity Detection without Fine-tuning
par: Gu, Yeming, et autres
Publié: (2022)

Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging
par: Li, Qinfeng, et autres
Publié: (2025)

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
par: Zeng, Shenglai, et autres
Publié: (2024)