Cover Image

DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Choi, June Suk, Lee, Kyungmin, Jeong, Jongheon, Xie, Saining, Shin, Jinwoo, Lee, Kimin
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Motion in Image-to-Video Models via Adaptive Low-Pass Guidance
by: Choi, June Suk, et al.
Published: (2025)

Adversarial Robustification via Text-to-Image Diffusion Models
by: Choi, Daewon, et al.
Published: (2024)

Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion Models
by: Lee, Kyungmin, et al.
Published: (2024)

StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment
by: Kim, Younghyun, et al.
Published: (2025)

DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models
by: Chae, Daewon, et al.
Published: (2025)

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
by: Yu, Sihyun, et al.
Published: (2024)

Improving Diffusion Models for Authentic Virtual Try-on in the Wild
by: Choi, Yisol, et al.
Published: (2024)

BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing
by: Kim, Jinsu, et al.
Published: (2025)

GuardDoor: Safeguarding Against Malicious Diffusion Editing via Protective Backdoors
by: Zeng, Yaopei, et al.
Published: (2025)

Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models
by: Jang, Sangwon, et al.
Published: (2025)

Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model
by: Won, John, et al.
Published: (2025)

DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow
by: Lee, Kyungmin, et al.
Published: (2024)

Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling
by: Lee, Kyungmin, et al.
Published: (2025)

Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness
by: Jang, Suhyeok, et al.
Published: (2024)

Universal Image Immunization against Diffusion-based Image Editing via Semantic Injection
by: Lee, Chanhui, et al.
Published: (2026)

GuardMarkGS: Unified Ownership Tracing and Edit Deterrence for 3D Gaussian Splatting
by: Jeong, Utae, et al.
Published: (2026)

LVMark: Robust Watermark for Latent Video Diffusion Models
by: Jang, MinHyuk, et al.
Published: (2024)

Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models
by: Kim, Sanghyun, et al.
Published: (2024)

DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing
by: Bala, Aniruddha, et al.
Published: (2025)

Margin-aware Preference Optimization for Aligning Diffusion Models without Reference
by: Hong, Jiwoo, et al.
Published: (2024)

Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion
by: Kim, Sanghyun, et al.
Published: (2024)

CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection
by: Lee, Byeongchan, et al.
Published: (2025)

DiffusionGuard
by: Lei, Yefei
Published: (2026)

Calibrated Multi-Preference Optimization for Aligning Diffusion Models
by: Lee, Kyungmin, et al.
Published: (2025)

DeContext as Defense: Safe Image Editing in Diffusion Transformers
by: Shen, Linghui, et al.
Published: (2025)

Real-time Identity Defenses against Malicious Personalization of Diffusion Models
by: Guo, Hanzhong, et al.
Published: (2024)

Latent Diffusion Models with Masked AutoEncoders
by: Lee, Junho, et al.
Published: (2025)

Active Diffusion Matching: Score-based Iterative Alignment of Cross-Modal Retinal Images
by: Lee, Kanggeon, et al.
Published: (2026)

HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy
by: Koo, Myungkyu, et al.
Published: (2025)

Discovering and Mitigating Visual Biases through Keyword Explanation
by: Kim, Younghyun, et al.
Published: (2023)

Exploring Multimodal Diffusion Transformers for Enhanced Prompt-based Image Editing
by: Shin, Joonghyuk, et al.
Published: (2025)

Structure-Preserving Zero-Shot Image Editing via Stage-Wise Latent Injection in Diffusion Models
by: Jeong, Dasol, et al.
Published: (2025)

Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis
by: Tang, Bingda, et al.
Published: (2025)

Towards Transferable Defense Against Malicious Image Edits
by: Zhang, Jie, et al.
Published: (2025)

LoyalDiffusion: A Diffusion Model Guarding Against Data Replication
by: Li, Chenghao, et al.
Published: (2024)

PersGuard: Preventing Malicious Personalization via Backdoor Attacks on Pre-trained Text-to-Image Diffusion Models
by: Liu, Xinwei, et al.
Published: (2025)

Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models
by: Jeong, Jinho, et al.
Published: (2025)

Diffusion-Based Conditional Image Editing through Optimized Inference with Guidance
by: Lee, Hyunsoo, et al.
Published: (2024)

Diffusion-Based Image Editing for Breaking Robust Watermarks
by: Ni, Yunyi, et al.
Published: (2025)

Diffusion Transformers with Representation Autoencoders
by: Zheng, Boyang, et al.
Published: (2025)