Extracting Training Data from Diffusion Models

30 January 2023

Papers citing "Extracting Training Data from Diffusion Models"

50 / 67 papers shown

Title
MelodySim: Measuring Melody-aware Music Similarity for Plagiarism Detection Tongyu Lu Charlotta-Marlena Geist J. Melechovský Abhinaba Roy Dorien Herremans 7 0 0 27 May 2025
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey Shashank Kapoor Sanjay Surendranath Girija Lakshit Arora Dipen Pradhan Ankit Shetgaonkar Aman Raj AAML 85 0 0 06 May 2025
Generalization through variance: how noise shapes inductive biases in diffusion models John J. Vastola DiffM 367 3 0 16 Apr 2025
Empirical Privacy Variance Yuzheng Hu Fan Wu Ruicheng Xian Yuhang Liu Lydia Zakynthinou Pritish Kamath Chiyuan Zhang David A. Forsyth 73 0 0 16 Mar 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 102 32 0 13 Mar 2025
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation Tianyu Chen Yasi Zhang Ziyi Wang Ying Nian Wu Oscar Leong Mingyuan Zhou DiffM 86 2 0 10 Mar 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems Song Xia Yi Yu Wenhan Yang Meiwen Ding Zhuo Chen Lingyu Duan Alex C. Kot Xudong Jiang 85 2 0 01 Mar 2025
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours Nikhil Churamani Saksham Checker Fethiye Irmak Dogan Hao-Tien Lewis Chiang Hatice Gunes FedML 107 1 0 24 Feb 2025
On Memorization in Diffusion Models Xiangming Gu Chao Du Tianyu Pang Chongxuan Li Min Lin Ye Wang DiffM TDI 228 47 0 21 Feb 2025
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images Sheng-Yu Wang Aaron Hertzmann Alexei A. Efros Jun-Yan Zhu Richard Zhang TDI 147 2 0 21 Feb 2025
$Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization$ Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$ -Constrained Optimization Xiaohua Feng Chao-Jun Chen Yuyuan Li Lulu Zhang Longfei Li Jun Zhou Xiaolin Zheng MU 94 0 0 20 Feb 2025
Neural Honeytrace: A Robust Plug-and-Play Watermarking Framework against Model Extraction Attacks Yixiao Xu Binxing Fang Rui Wang Yinghai Zhou S. Ji Yuan Liu Mohan Li AAML MIACV 87 0 0 16 Jan 2025
Continuous Concepts Removal in Text-to-image Diffusion Models Tingxu Han Weisong Sun Yanrong Hu Chunrong Fang Yonglong Zhang Shiqing Ma Tao Zheng Zhenyu Chen Zhenting Wang DiffM 145 3 0 30 Nov 2024
Classifier-Free Guidance inside the Attraction Basin May Cause Memorization Anubhav Jain Yuya Kobayashi Takashi Shibuya Yuhta Takida N. Memon Julian Togelius Yuki Mitsufuji DiffM 129 2 0 23 Nov 2024
A Geometric Framework for Understanding Memorization in Generative Models Brendan Leigh Ross Hamidreza Kamkari Tongzi Wu Rasa Hosseinzadeh Zhaoyan Liu George Stein Jesse C. Cresswell Gabriel Loaiza-Ganem 76 7 0 31 Oct 2024
Investigating Memorization in Video Diffusion Models Chong Chen Enhuai Liu Daochang Liu M. Shah Chang Xu VGen DiffM 93 1 0 29 Oct 2024
Exploring Local Memorization in Diffusion Models via Bright Ending Attention Chong Chen Daochang Liu M. Shah Chang Xu 105 4 0 29 Oct 2024
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin Linwei Tao Minjing Dong Chang Xu TDI 56 2 0 24 Oct 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu Yifan Zhang Qiuhong Shen Xinchao Wang Shuicheng Yan 3DGS 75 1 0 10 Oct 2024
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models Vinith Suriyakumar Rohan Alur Ayush Sekhari Manish Raghavan Ashia Wilson 72 3 0 10 Oct 2024
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models Salma Abdel Magid Weiwei Pan Simon Warchol Grace Guo Junsik Kim Mahia Rahman Hanspeter Pfister 111 0 0 06 Oct 2024
Undesirable Memorization in Large Language Models: A Survey Ali Satvaty Suzan Verberne Fatih Turkmen ELM PILM 114 7 0 03 Oct 2024
Prompt Obfuscation for Large Language Models David Pape Thorsten Eisenhofer Thorsten Eisenhofer Lea Schönherr AAML 79 2 0 17 Sep 2024
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding Cheng Wang Yiwei Wang Bryan Hooi Yujun Cai Nanyun Peng Kai-Wei Chang 60 4 0 05 Sep 2024
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 80 3 0 03 Sep 2024
Range Membership Inference Attacks Jiashu Tao Reza Shokri 80 1 0 09 Aug 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models Xiao Liu Xiaoliu Guan Yu Wu Jiaxu Miao 53 7 0 22 Jul 2024
Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law Giorgio Franceschelli Claudia Cevenini Mirco Musolesi 55 0 0 18 Jul 2024
Fantastic Copyrighted Beasts and How (Not) to Generate Them Luxi He Yangsibo Huang Weijia Shi Tinghao Xie Haotian Liu Yue Wang Luke Zettlemoyer Chiyuan Zhang Danqi Chen Peter Henderson 60 9 0 20 Jun 2024
Diffusion Models in Low-Level Vision: A Survey Chunming He Yuqi Shen Chengyu Fang Fengyang Xiao Longxiang Tang Yulun Zhang W. Zuo Zhenhua Guo Xiu Li VLM DiffM MedIm 95 34 0 17 Jun 2024
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus Matthieu Futeral A. Zebaze Pedro Ortiz Suarez Julien Abadji Rémi Lacroix Cordelia Schmid Rachel Bawden Benoît Sagot 78 3 0 13 Jun 2024
REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space Tomer Ashuach Martin Tutek Yonatan Belinkov MU KELM 88 5 0 13 Jun 2024
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient Yongliang Wu Shiji Zhou Mingzhuo Yang Lianzhe Wang Wenbo Zhu Heng Chang Xiao Zhou Xu Yang Xu Yang 84 19 0 24 May 2024
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models Jingyang Zhang Jingwei Sun Eric C. Yeats Ouyang Yang Martin Kuo Jianyi Zhang Hao Frank Yang Hai "Helen" Li 68 44 0 03 Apr 2024
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data Asad Aali Giannis Daras Brett Levac Sidharth Kumar Alexandros G. Dimakis Jonathan I. Tamir MedIm 81 15 0 13 Mar 2024
Visual Privacy Auditing with Diffusion Models Kristian Schwethelm Johannes Kaiser Moritz Knolle Daniel Rueckert Daniel Rueckert Alexander Ziller DiffM AAML 79 0 0 12 Mar 2024
Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs Aly M. Kassem Omar Mahmoud Niloofar Mireshghallah Hyunwoo J. Kim Yulia Tsvetkov Yejin Choi Sherif Saad Santu Rana 69 20 0 05 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 121 18 0 28 Feb 2024
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance Ilana Sebag Muni Sreenivas Pydi Jean-Yves Franceschi Alain Rakotomamonjy Mike Gartrell Jamal Atif Alexandre Allauzen 33 2 0 13 Dec 2023
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance Haichao Sha Ruixuan Liu Yi-xiao Liu Hong Chen 67 1 0 06 Dec 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 64 2 0 20 Oct 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 112 93 0 27 Jun 2023
Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zinan Lin Sivakanth Gopi Janardhan Kulkarni Harsha Nori Sergey Yekhanin 72 38 0 24 May 2023
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation Pierre J. Chambon Christian Blüthgen Jean-Benoit Delbrouck Rogier van der Sluijs M. Polacin Juan Manuel Zambrano Chaves Tanishq Mathew Abraham Shivanshu Purohit C. Langlotz Akshay S. Chaudhari LM&MA DiffM MedIm 54 102 0 23 Nov 2022
Large Language Models Struggle to Learn Long-Tail Knowledge Nikhil Kandpal H. Deng Adam Roberts Eric Wallace Colin Raffel RALM KELM 75 409 0 15 Nov 2022
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report Pouria Rouzrokh Bardia Khosravi S. Faghani Mana Moassefi Sanaz Vahdati Bradley J. Erickson DiffM MedIm 66 24 0 21 Oct 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 259 6,768 0 13 Apr 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 101 30,021 0 01 Mar 2022
When do GANs replicate? On the choice of dataset size Qianli Feng Chen Guo Fabian Benitez-Quiroz Aleix M. Martinez 166 54 0 23 Feb 2022
Quantifying Memorization Across Neural Language Models Nicholas Carlini Daphne Ippolito Matthew Jagielski Katherine Lee Florian Tramèr Chiyuan Zhang PILM 54 603 0 15 Feb 2022