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2305.20086
Cited By
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
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ArXiv (abs)
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HuggingFace (3 upvotes)
Papers citing
"Understanding and Mitigating Copying in Diffusion Models"
36 / 136 papers shown
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion
Xiaoyu Wu
Yang Hua
Chumeng Liang
Jiaru Zhang
Hao Wang
Tao Song
Haibing Guan
179
7
0
17 Mar 2024
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention
Jie Ren
Yaxin Li
Shenglai Zeng
Han Xu
Lingjuan Lyu
Yue Xing
Shucheng Zhou
387
47
0
17 Mar 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser
Sumith Kulal
A. Blattmann
Rahim Entezari
Jonas Muller
...
Zion English
Kyle Lacey
Alex Goodwin
Yannik Marek
Robin Rombach
DiffM
2.5K
2,797
0
05 Mar 2024
Wasserstein proximal operators describe score-based generative models and resolve memorization
Benjamin J. Zhang
Siting Liu
Wuchen Li
Markos A. Katsoulakis
Stanley J. Osher
DiffM
256
14
0
09 Feb 2024
A Survey on Safe Multi-Modal Learning System
Tianyi Zhao
Liangliang Zhang
Yao Ma
Lu Cheng
562
21
0
08 Feb 2024
Copyright Protection in Generative AI: A Technical Perspective
Jie Ren
Han Xu
Pengfei He
Yingqian Cui
Shenglai Zeng
...
Hongzhi Wen
Jiayuan Ding
Hui Liu
Yi Chang
Shucheng Zhou
DeLMO
337
56
0
04 Feb 2024
EraseDiff: Erasing Data Influence in Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2024
Jing Wu
Trung Le
Munawar Hayat
Mehrtash Harandi
DiffM
452
13
0
11 Jan 2024
A Good Score Does not Lead to A Good Generative Model
Sixu Li
Shi Chen
Qin Li
DiffM
305
25
0
10 Jan 2024
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline
Haonan Wang
Qianli Shen
Yao Tong
Yang Zhang
Kenji Kawaguchi
280
40
0
07 Jan 2024
One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications
Mengyao Lyu
Yuhong Yang
Haiwen Hong
Hui Chen
Xuan Jin
Yuan He
Hui Xue
Jungong Han
Guiguang Ding
DiffM
323
113
0
26 Dec 2023
Computational Copyright: Towards A Royalty Model for Music Generative AI
Junwei Deng
Xirui Jiang
Shiyuan Zhang
Shichang Zhang
Himabindu Lakkaraju
Ruijiang Gao
Chris Donahue
Jiaqi W. Ma
298
11
0
11 Dec 2023
Understanding (Un)Intended Memorization in Text-to-Image Generative Models
Ali Naseh
Jaechul Roh
Amir Houmansadr
DiffM
176
6
0
06 Dec 2023
Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication
Ali Naseh
Jaechul Roh
Amir Houmansadr
193
7
0
06 Dec 2023
VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models
Computer Vision and Pattern Recognition (CVPR), 2023
Xiang Li
Qianli Shen
Kenji Kawaguchi
299
8
0
29 Nov 2023
Reinforcement Learning from Diffusion Feedback: Q* for Image Search
Aboli Rajan Marathe
VLM
227
0
0
27 Nov 2023
EDMSound: Spectrogram Based Diffusion Models for Efficient and High-Quality Audio Synthesis
Ge Zhu
Yutong Wen
M. Carbonneau
Zhiyao Duan
DiffM
234
13
0
15 Nov 2023
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Zhuoshi Pan
Yuguang Yao
Gaowen Liu
Bingquan Shen
H. Vicky Zhao
Ramana Rao Kompella
Sijia Liu
DiffM
AAML
296
8
0
04 Nov 2023
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling
International Conference on Learning Representations (ICLR), 2023
Seyedmorteza Sadat
Jakob Buhmann
Derek Bradley
Otmar Hilliges
Romann M. Weber
DiffM
396
94
0
26 Oct 2023
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning
Junwoo Chang
Hyunwoo Ryu
Jiwoo Kim
Soochul Yoo
Jongeun Choi
Joohwan Seo
N. Prakash
R. Horowitz
DiffM
AI4CE
399
8
0
19 Oct 2023
Generation or Replication: Auscultating Audio Latent Diffusion Models
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Dimitrios Bralios
Gordon Wichern
François Germain
Zexu Pan
Sameer Khurana
Chiori Hori
Jonathan Le Roux
DiffM
177
11
0
16 Oct 2023
The Emergence of Reproducibility and Generalizability in Diffusion Models
Huijie Zhang
Jinfan Zhou
Yifu Lu
Minzhe Guo
Peng Wang
Liyue Shen
Qing Qu
DiffM
303
15
0
08 Oct 2023
DECORAIT -- DECentralized Opt-in/out Registry for AI Training
Conference on Visual Media Production (CVMP), 2023
Karthika Balan
Alexander Black
Simon Jenni
Andrew Gilbert
Andy Parsons
John Collomosse
200
9
0
25 Sep 2023
On Copyright Risks of Text-to-Image Diffusion Models
Yang Zhang
Teoh Tze Tzun
Lim Wei Hern
Haonan Wang
Kenji Kawaguchi
311
17
0
15 Sep 2023
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Chenghao Li
Dake Chen
Yuke Zhang
Peter A. Beerel
DiffM
280
12
0
13 Sep 2023
Unified Concept Editing in Diffusion Models
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Rohit Gandikota
Hadas Orgad
Yonatan Belinkov
Joanna Materzyñska
David Bau
DiffM
380
303
0
25 Aug 2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models
Dominik Hintersdorf
Lukas Struppek
Kristian Kersting
SILM
162
6
0
18 Aug 2023
Circumventing Concept Erasure Methods For Text-to-Image Generative Models
International Conference on Learning Representations (ICLR), 2023
Minh Pham
Kelly O. Marshall
Niv Cohen
Govind Mittal
Chinmay Hegde
DiffM
247
68
0
03 Aug 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
International Conference on Machine Learning (ICML), 2023
Elen Vardanyan
Sona Hunanyan
T. Galstyan
A. Minasyan
A. Dalalyan
337
2
0
31 Jul 2023
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance
International Conference on Machine Learning (ICML), 2023
Saeid Naderiparizi
Xiaoxuan Liang
Setareh Cohan
Berend Zwartsenberg
Frank Wood
DiffM
265
6
0
31 Jul 2023
Quantum Solutions to the Privacy vs. Utility Tradeoff
Sagnik Chatterjee
Vyacheslav Kungurtsev
147
0
0
06 Jul 2023
Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis
S. Dar
A. Ghanaat
Jannik Kahmann
Isabelle Ayx
Theano Papavassiliu
Stefan O. Schoenberg
Sandy Engelhardt
DiffM
MedIm
287
34
0
03 Jul 2023
Federated Generative Learning with Foundation Models
Jie Zhang
Xiaohua Qi
Bo Zhao
FedML
295
28
0
28 Jun 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
Chong Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
683
123
0
27 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
Pattern Recognition (Pattern Recogn.), 2023
Ziyi Chang
George Alex Koulieris
Hyung Jin Chang
Hubert P. H. Shum
DiffM
650
81
0
07 Jun 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Aengus Lynch
G. Dovonon
Jean Kaddour
Ricardo M. A. Silva
545
39
0
09 Mar 2023
Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data
SIAM Journal on Mathematics of Data Science (SIMODS), 2022
Hyemin Gu
Panagiota Birmpa
Yannis Pantazis
Luc Rey-Bellet
Markos A. Katsoulakis
304
5
0
31 Oct 2022
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