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Understanding and Mitigating Copying in Diffusion Models

Understanding and Mitigating Copying in Diffusion Models

Neural Information Processing Systems (NeurIPS), 2023
31 May 2023
Gowthami Somepalli
Vasu Singla
Micah Goldblum
Jonas Geiping
Tom Goldstein
    DiffM
ArXiv (abs)PDFHTMLHuggingFace (3 upvotes)

Papers citing "Understanding and Mitigating Copying in Diffusion Models"

50 / 136 papers shown
DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive Models
DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive Models
Mingue Park
Prin Phunyaphibarn
Phillip Y. Lee
Minhyuk Sung
112
0
0
26 Nov 2025
Latent Diffusion Inversion Requires Understanding the Latent Space
Latent Diffusion Inversion Requires Understanding the Latent Space
Mingxing Rao
Bowen Qu
Daniel Moyer
104
0
0
25 Nov 2025
SPQR: A Standardized Benchmark for Modern Safety Alignment Methods in Text-to-Image Diffusion Models
SPQR: A Standardized Benchmark for Modern Safety Alignment Methods in Text-to-Image Diffusion Models
Mohammed Talha Alam
Nada Saadi
Fahad Shamshad
Nils Lukas
Karthik Nandakumar
Fahkri Karray
Samuele Poppi
EGVM
161
0
0
24 Nov 2025
Generating Synthetic Human Blastocyst Images for In-Vitro Fertilization Blastocyst Grading
Generating Synthetic Human Blastocyst Images for In-Vitro Fertilization Blastocyst Grading
Pavan Narahari
Suraj Rajendran
Lorena Bori
Jonas E. Malmsten
Qiansheng Zhan
Zev Rosenwaks
Nikica Zaninovic
Iman Hajirasouliha
MedIm
178
0
0
22 Nov 2025
A PDE Perspective on Generative Diffusion Models
A PDE Perspective on Generative Diffusion Models
Kang Liu
Enrique Zuazua
DiffM
109
2
0
08 Nov 2025
Nonparametric Data Attribution for Diffusion Models
Nonparametric Data Attribution for Diffusion Models
Yutian Zhao
C. Du
Xiaosen Zheng
Tianyu Pang
Min Lin
TDIDiffM
224
0
0
16 Oct 2025
DiffEM: Learning from Corrupted Data with Diffusion Models via Expectation Maximization
DiffEM: Learning from Corrupted Data with Diffusion Models via Expectation Maximization
Danial Hosseintabar
Fan Chen
Giannis Daras
Antonio Torralba
C. Daskalakis
158
1
0
14 Oct 2025
A Black-Box Debiasing Framework for Conditional Sampling
A Black-Box Debiasing Framework for Conditional Sampling
Han Cui
Jingbo Liu
82
0
0
13 Oct 2025
Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models
Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models
Hyeonggeun Han
Sehwan Kim
Hyungjun Joo
Sangwoo Hong
Jungwoo Lee
DiffM
186
1
0
08 Oct 2025
How Diffusion Models Memorize
How Diffusion Models Memorize
Juyeop Kim
Songkuk Kim
Jong-Seok Lee
DiffM
132
1
0
30 Sep 2025
Score-based Membership Inference on Diffusion Models
Score-based Membership Inference on Diffusion Models
Mingxing Rao
Bowen Qu
Daniel Moyer
DiffM
130
1
0
29 Sep 2025
Review of Hallucination Understanding in Large Language and Vision Models
Review of Hallucination Understanding in Large Language and Vision Models
Zhengyi Ho
Siyuan Liang
D. Tao
VLMLRM
141
0
0
26 Sep 2025
Generation Properties of Stochastic Interpolation under Finite Training Set
Generation Properties of Stochastic Interpolation under Finite Training Set
Yunchen Li
Shaohui Lin
Zhou Yu
120
1
0
26 Sep 2025
A Unified Framework for Diffusion Model Unlearning with f-Divergence
A Unified Framework for Diffusion Model Unlearning with f-Divergence
Nicola Novello
Federico Fontana
Luigi Cinque
Deniz Gunduz
Andrea M. Tonello
235
0
0
25 Sep 2025
Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models
Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models
Kang Wei
Xin Yuan
Fushuo Huo
Chuan Ma
Long Yuan
S. Li
Ming Ding
Dacheng Tao
DiffMMedIm
244
0
0
25 Sep 2025
Towards Application Aligned Synthetic Surgical Image Synthesis
Towards Application Aligned Synthetic Surgical Image Synthesis
Danush Kumar Venkatesh
Stefanie Speidel
MedIm
128
0
0
23 Sep 2025
A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective
A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective
Lianghe Shi
Meng Wu
Huijie Zhang
Zekai Zhang
Molei Tao
Qing Qu
261
3
0
20 Sep 2025
A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis
A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis
Antonio Scardace
Lemuel Puglisi
Francesco Guarnera
Sebastiano Battiato
D. Ravì
MedIm
263
0
0
20 Sep 2025
Mitigating data replication in text-to-audio generative diffusion models through anti-memorization guidance
Mitigating data replication in text-to-audio generative diffusion models through anti-memorization guidance
Francisco Messina
Francesca Ronchini
Luca Comanducci
Paolo Bestagini
Fabio Antonacci
DiffM
119
1
0
18 Sep 2025
AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models
AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models
Zhipeng Yin
Sribala Vidyadhari Chinta
Avash Palikhe
Zhen Liu
Jun Liu
Wenbin Zhang
127
6
0
31 Aug 2025
Localizing and Mitigating Memorization in Image Autoregressive Models
Localizing and Mitigating Memorization in Image Autoregressive Models
Aditya Kasliwal
Franziska Boenisch
Adam Dziedzic
138
1
0
30 Aug 2025
Demystifying Foreground-Background Memorization in Diffusion Models
Demystifying Foreground-Background Memorization in Diffusion Models
Jimmy Z. Di
Yiwei Lu
Yaoliang Yu
Gautam Kamath
Adam Dziedzic
Franziska Boenisch
DiffM
188
0
0
16 Aug 2025
REFLECT: Rectified Flows for Efficient Brain Anomaly Correction Transport
REFLECT: Rectified Flows for Efficient Brain Anomaly Correction TransportInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Farzad Beizaee
Sina Hajimiri
Ismail Ben Ayed
Gregory A. Lodygensky
Christian Desrosiers
Jose Dolz
MedIm
137
1
0
04 Aug 2025
LeakyCLIP: Extracting Training Data from CLIP
LeakyCLIP: Extracting Training Data from CLIP
Yunhao Chen
S. Wang
Xin Wang
Jiabo He
314
0
0
01 Aug 2025
Finding Dori: Memorization in Text-to-Image Diffusion Models Is Not Local
Finding Dori: Memorization in Text-to-Image Diffusion Models Is Not Local
Antoni Kowalczuk
Dominik Hintersdorf
Lukas Struppek
Kristian Kersting
Adam Dziedzic
Franziska Boenisch
DiffM
261
1
0
22 Jul 2025
Concept-TRAK: Understanding how diffusion models learn concepts through concept-level attribution
Concept-TRAK: Understanding how diffusion models learn concepts through concept-level attribution
Yonghyun Park
Chieh-Hsin Lai
Satoshi Hayakawa
Yuhta Takida
Naoki Murata
Wei-Hsiang Liao
Woosung Choi
K. Cheuk
Junghyun Koo
Yuki Mitsufuji
226
1
0
09 Jul 2025
Large-Scale Training Data Attribution for Music Generative Models via Unlearning
Large-Scale Training Data Attribution for Music Generative Models via Unlearning
Woosung Choi
Junghyun Koo
K. Cheuk
Joan Serrà
Marco A. Martínez-Ramírez
Yukara Ikemiya
Naoki Murata
Yuhta Takida
Wei-Hsiang Liao
Yuki Mitsufuji
DiffMMU
207
3
0
23 Jun 2025
Restoring Gaussian Blurred Face Images for Deanonymization Attacks
Restoring Gaussian Blurred Face Images for Deanonymization Attacks
Haoyu Zhai
S. Wang
Pirouz Naghavi
Qingying Hao
Gang Wang
DiffMCVBMPICV
297
1
0
14 Jun 2025
Ambient Diffusion Omni: Training Good Models with Bad Data
Ambient Diffusion Omni: Training Good Models with Bad Data
Giannis Daras
Adrian Rodriguez-Munoz
Adam R. Klivans
Antonio Torralba
Constantinos Daskalakis
276
9
0
10 Jun 2025
Generative Modeling of Weights: Generalization or Memorization?
Generative Modeling of Weights: Generalization or Memorization?
Boya Zeng
Yida Yin
Zhiqiu Xu
Zhuang Liu
DiffM
307
4
0
09 Jun 2025
Quantifying Cross-Modality Memorization in Vision-Language Models
Yuxin Wen
Yangsibo Huang
Tom Goldstein
Ravi Kumar
Badih Ghazi
Chiyuan Zhang
329
2
0
05 Jun 2025
A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective
A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective
Zhengyu Fang
Zhimeng Jiang
Huiyuan Chen
Xiaoge Zhang
Kaiyu Tang
Xiao Li
Jing Li
TDI
258
1
0
28 May 2025
FPAN: Mitigating Replication in Diffusion Models through the Fine-Grained Probabilistic Addition of Noise to Token Embeddings
FPAN: Mitigating Replication in Diffusion Models through the Fine-Grained Probabilistic Addition of Noise to Token Embeddings
Jingqi Xu
Chenghao Li
Yuke Zhang
Peter A. Beerel
DiffM
160
0
0
28 May 2025
Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models
Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models
Alessandro Favero
Antonio Sclocchi
Matthieu Wyart
DiffM
307
10
0
22 May 2025
Demystifying Diffusion Policies: Action Memorization and Simple Lookup Table Alternatives
Demystifying Diffusion Policies: Action Memorization and Simple Lookup Table Alternatives
Chengyang He
Xu Liu
Gadiel Sznaier Camps
Guillaume Sartoretti
Mac Schwager
282
4
0
09 May 2025
Efficient Flow Matching using Latent Variables
Efficient Flow Matching using Latent Variables
Anirban Samaddar
Yixuan Sun
Viktor Nilsson
Sandeep Madireddy
421
2
0
07 May 2025
Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models
Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Chong Chen
Daochang Liu
M. Shah
Chang Xu
310
6
0
25 Apr 2025
Generalization through variance: how noise shapes inductive biases in diffusion models
Generalization through variance: how noise shapes inductive biases in diffusion modelsInternational Conference on Learning Representations (ICLR), 2025
John J. Vastola
DiffM
1.1K
18
0
16 Apr 2025
Generative AI in Collaborative Academic Report Writing: Advantages, Disadvantages, and Ethical Considerations
Generative AI in Collaborative Academic Report Writing: Advantages, Disadvantages, and Ethical Considerations
Mahshid Sadeghpour
Arathi Arakala
Asha Rao
213
1
0
10 Apr 2025
GenEAva: Generating Cartoon Avatars with Fine-Grained Facial Expressions from Realistic Diffusion-based Faces
GenEAva: Generating Cartoon Avatars with Fine-Grained Facial Expressions from Realistic Diffusion-based Faces
Hao Yu
Rupayan Mallick
Margrit Betke
Sarah Adel Bargal
DiffM
200
3
0
10 Apr 2025
EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial Representations
EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial RepresentationsIEEE Robotics and Automation Letters (IEEE RA-L), 2025
Yue Yao
Mohamed-Khalil Bouzidi
Daniel Goehring
Joerg Reichardt
DiffM
312
0
0
07 Apr 2025
Quantifying the Ease of Reproducing Training Data in Unconditional Diffusion Models
Quantifying the Ease of Reproducing Training Data in Unconditional Diffusion Models
Masaya Hasegawa
Koji Yasuda
173
0
0
25 Mar 2025
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
Tianyu Chen
Yasi Zhang
Liang Luo
Ying Nian Wu
Oscar Leong
Mingyuan Zhou
DiffM
469
5
0
10 Mar 2025
Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data
Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data
Henrik Nolte
Michèle Finck
Kristof Meding
AILawPILM
451
2
0
03 Mar 2025
Data Unlearning in Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2025
Silas Alberti
Kenan Hasanaliyev
Manav Shah
Stefano Ermon
DiffMMU
187
8
0
02 Mar 2025
SolidMark: Evaluating Image Memorization in Generative Models
Nicky Kriplani
Minh Pham
Gowthami Somepalli
Chinmay Hegde
Niv Cohen
VLM
376
4
0
01 Mar 2025
RELICT: A Replica Detection Framework for Medical Image Generation
RELICT: A Replica Detection Framework for Medical Image Generation
O. U. Aydin
Alexander Koch
A. Hilbert
Jana Rieger
Felix Lohrke
F. Ishida
Satoru Tanioka
D. Frey
MedIm
234
0
0
24 Feb 2025
On Memorization in Diffusion Models
On Memorization in Diffusion Models
Xiangming Gu
Chao Du
Tianyu Pang
Chongxuan Li
Min Lin
Ye Wang
DiffMTDI
618
93
0
21 Feb 2025
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models
Shunchang Liu
Zhuan Shi
Lingjuan Lyu
Yaochu Jin
Boi Faltings
369
2
0
21 Feb 2025
A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models
A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models
Changhoon Kim
Yanjun Qi
DiffM
416
5
0
17 Feb 2025
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