Cover Image

Detecting, Explaining, and Mitigating Memorization in Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wen, Yuxin, Liu, Yuchen, Chen, Chen, Lyu, Lingjuan
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

Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention
by: Ren, Jie, et al.
Published: (2024)

Broken Memories: Detecting and Mitigating Memorization in Diffusion Models with Degraded Generations
by: Huang, Yuanmin, et al.
Published: (2026)

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models
by: Chen, Chen, et al.
Published: (2025)

A Simple Background Augmentation Method for Object Detection with Diffusion Model
by: Li, Yuhang, et al.
Published: (2024)

Towards Memorization-Free Diffusion Models
by: Chen, Chen, et al.
Published: (2024)

Evaluating and Mitigating IP Infringement in Visual Generative AI
by: Wang, Zhenting, et al.
Published: (2024)

Seeing Further on the Shoulders of Giants: Knowledge Inheritance for Vision Foundation Models
by: Huang, Jiabo, et al.
Published: (2025)

Investigating Memorization in Video Diffusion Models
by: Chen, Chen, et al.
Published: (2024)

Redistribute Ensemble Training for Mitigating Memorization in Diffusion Models
by: Guan, Xiaoliu, et al.
Published: (2025)

CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models
by: Liu, Shunchang, et al.
Published: (2025)

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
by: Wang, Zhenting, et al.
Published: (2023)

Mitigating Memorization in Text-to-Image Diffusion via Region-Aware Prompt Augmentation and Multimodal Copy Detection
by: Chen, Yunzhuo, et al.
Published: (2026)

Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models
by: Liu, Xiao, et al.
Published: (2024)

Exploring Local Memorization in Diffusion Models via Bright Ending Attention
by: Chen, Chen, et al.
Published: (2024)

Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models
by: Han, Hyeonggeun, et al.
Published: (2025)

Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models
by: Dutt, Raman, et al.
Published: (2024)

Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization
by: Li, Yuhang, et al.
Published: (2024)

Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the Log-Probability
by: Asthana, Rohan, et al.
Published: (2026)

Filtering Memorization from Parameter-Space in Diffusion Models
by: Zhe, Yu, et al.
Published: (2026)

How Diffusion Models Memorize
by: Kim, Juyeop, et al.
Published: (2025)

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data
by: Patwari, Kartik, et al.
Published: (2024)

Unconsciously Forget: Mitigating Memorization; Without Knowing What is being Memorized
by: Jin, Er, et al.
Published: (2025)

MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection
by: Dutt, Raman, et al.
Published: (2024)

Quantifying Cross-Modality Memorization in Vision-Language Models
by: Wen, Yuxin, et al.
Published: (2025)

Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models
by: Ren, Jie, et al.
Published: (2024)

CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI
by: Cheng, Siyuan, et al.
Published: (2025)

Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection
by: Wang, Wenxiao, et al.
Published: (2024)

Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation
by: Sun, Guangyu, et al.
Published: (2025)

An Inversion-based Measure of Memorization for Diffusion Models
by: Ma, Zhe, et al.
Published: (2024)

Training-Free Layout-to-Image Generation with Marginal Attention Constraints
by: Chen, Huancheng, et al.
Published: (2024)

FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free
by: Yuan, Haolin, et al.
Published: (2025)

Replay-Free Continual Low-Rank Adaptation with Dynamic Memory
by: Chen, Huancheng, et al.
Published: (2024)

You Don't Need All That Attention: Surgical Memorization Mitigation in Text-to-Image Diffusion Models
by: Zhao, Kairan, et al.
Published: (2026)

UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models
by: Wang, Yimu, et al.
Published: (2025)

Explaining in Diffusion: Explaining a Classifier Through Hierarchical Semantics with Text-to-Image Diffusion Models
by: Kazimi, Tahira, et al.
Published: (2024)

On Memorization in Diffusion Models
by: Gu, Xiangming, et al.
Published: (2023)

Empowering Small VLMs to Think with Dynamic Memorization and Exploration
by: Liu, Jiazhen, et al.
Published: (2025)

UniCompress: Token Compression for Unified Vision-Language Understanding and Generation
by: Wang, Ziyao, et al.
Published: (2026)

Dual Prototype-Conditioned Diffusion Model for Scalable Multi-Class Unsupervised Anomaly Detection in Large Category Spaces
by: Feng, Yaoxuan, et al.
Published: (2026)

MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models
by: Hong, Chunsan, et al.
Published: (2024)