Extracting Training Data from Diffusion Models

30 January 2023

Papers citing "Extracting Training Data from Diffusion Models"

50 / 414 papers shown

Title
Universal Exact Compression of Differentially Private Mechanisms Yanxiao Liu Wei-Ning Chen Ayfer Özgür Cheuk Ting Li 33 2 0 28 May 2024
Automatic Jailbreaking of the Text-to-Image Generative AI Systems Minseon Kim Hyomin Lee Boqing Gong Huishuai Zhang Sung Ju Hwang 24 11 0 26 May 2024
R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model Changhoon Kim Kyle Min Yezhou Yang 40 19 0 25 May 2024
BadGD: A unified data-centric framework to identify gradient descent vulnerabilities ChiHua Wang Guang Cheng SILM 37 5 0 24 May 2024
Data Reconstruction: When You See It and When You Don't Edith Cohen Haim Kaplan Yishay Mansour Shay Moran Kobbi Nissim Uri Stemmer Eliad Tsfadia AAML 37 2 0 24 May 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 53 18 0 24 May 2024
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy Shengfang Zhai Huanran Chen Yinpeng Dong Jiajun Li Qingni Shen Yansong Gao Hang Su Yang Liu EGVM 54 9 0 23 May 2024
How to Trace Latent Generative Model Generated Images without Artificial Watermark? Zhenting Wang Vikash Sehwag Chen Chen Lingjuan Lyu Dimitris N. Metaxas Shiqing Ma WIGM 36 5 0 22 May 2024
Generative Unlearning for Any Identity Juwon Seo Sung-Hoon Lee Tae-Young Lee Seungjun Moon Gyeong-Moon Park 40 5 0 16 May 2024
Synthetic Data in Radiological Imaging: Current State and Future Outlook E. Sizikova A. Badal Jana G. Delfino Miguel Lago Brandon Nelson Niloufar Saharkhiz B. Sahiner Ghada Zamzmi Aldo Badano MedIm 40 5 0 08 May 2024
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models Matías Mendieta Guangyu Sun C. L. P. Chen 18 5 0 02 May 2024
Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable Haozhe Liu Wentian Zhang Bing Li Bernard Ghanem Jürgen Schmidhuber DiffM WIGM AAML 26 1 0 01 May 2024
Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion David Geissbühler Hatef Otroshi-Shahreza S´ebastien Marcel DiffM 23 6 0 30 Apr 2024
Probing Unlearned Diffusion Models: A Transferable Adversarial Attack Perspective Xiaoxuan Han Songlin Yang Wei Wang Yang Li Jing Dong DiffM AAML 27 5 0 30 Apr 2024
Espresso: Robust Concept Filtering in Text-to-Image Models Anudeep Das Vasisht Duddu Rui Zhang Nadarajah Asokan EGVM 29 5 0 30 Apr 2024
Hide and Seek: How Does Watermarking Impact Face Recognition? Yuguang Yao Steven Grosz Sijia Liu Anil K. Jain 38 1 0 29 Apr 2024
DPTraj-PM: Differentially Private Trajectory Synthesis Using Prefix Tree and Markov Process Nana Wang Mohan S. Kankanhalli 22 1 0 22 Apr 2024
U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI Tanja Sarcevic Alicja Karlowicz Rudolf Mayer Ricardo A. Baeza-Yates Andreas Rauber 40 5 0 22 Apr 2024
Long-form music generation with latent diffusion Zach Evans Julian Parker CJ Carr Zack Zukowski Josiah Taylor Jordi Pons MGen DiffM 36 38 0 16 Apr 2024
LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models Juntaek Lim Youngeun Kwon Ranggi Hwang Kiwan Maeng Edward Suh Minsoo Rhu SyDa 21 0 0 12 Apr 2024
Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models Mazda Moayeri Samyadeep Basu S. Balasubramanian Priyatham Kattakinda Atoosa Malemir Chegini R. Brauneis S. Feizi WIGM 36 4 0 11 Apr 2024
Disguised Copyright Infringement of Latent Diffusion Models Yiwei Lu Matthew Y.R. Yang Zuoqiu Liu Gautam Kamath Yaoliang Yu WIGM 21 7 0 10 Apr 2024
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance Vishaal Udandarao Ameya Prabhu Adhiraj Ghosh Yash Sharma Philip H. S. Torr Adel Bibi Samuel Albanie Matthias Bethge VLM 118 44 0 04 Apr 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 Li 29 41 0 03 Apr 2024
Noise Masking Attacks and Defenses for Pretrained Speech Models Matthew Jagielski Om Thakkar Lun Wang AAML 19 4 0 02 Apr 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models Yuxin Wen Leo Marchyok Sanghyun Hong Jonas Geiping Tom Goldstein Nicholas Carlini SILM AAML 18 9 0 01 Apr 2024
Towards Memorization-Free Diffusion Models Chen Chen Daochang Liu Chang Xu VLM 24 25 0 01 Apr 2024
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models Shanglun Feng Florian Tramèr SILM 27 14 0 30 Mar 2024
Frame by Familiar Frame: Understanding Replication in Video Diffusion Models Aimon Rahman Malsha V. Perera Vishal M. Patel VGen 40 7 0 28 Mar 2024
Detecting Generative Parroting through Overfitting Masked Autoencoders Saeid Asgari Taghanaki Joseph Lambourne 25 1 0 27 Mar 2024
CPR: Retrieval Augmented Generation for Copyright Protection Aditya Golatkar Alessandro Achille L. Zancato Yu-Xiang Wang Ashwin Swaminathan Stefano Soatto DiffM 27 16 0 27 Mar 2024
Improving Diffusion Models's Data-Corruption Resistance using Scheduled Pseudo-Huber Loss Artem Khrapov Vadim Popov Tasnima Sadekova Assel Yermekova Mikhail Kudinov DiffM 27 1 0 25 Mar 2024
Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection Minzhou Pan Zhengting Wang Xin Dong Vikash Sehwag Lingjuan Lyu Xue Lin 25 3 0 23 Mar 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures S. V. Dibbo Adam Breuer Juston S. Moore Michael Teti AAML 28 4 0 21 Mar 2024
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning Jonathan Lebensold Maziar Sanjabi Pietro Astolfi Adriana Romero Soriano Kamalika Chaudhuri Mike Rabbat Chuan Guo DiffM 19 4 0 21 Mar 2024
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data Giannis Daras Alexandros G. Dimakis Constantinos Daskalakis 36 20 0 20 Mar 2024
Synthetic Image Generation in Cyber Influence Operations: An Emergent Threat? Melanie Mathys Marco Willi Michael Graber Raphael Meier 14 2 0 18 Mar 2024
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning Xiaojie Li Yibo Yang Xiangtai Li Jianlong Wu Yue Yu Bernard Ghanem Min Zhang SSL 32 6 0 18 Mar 2024
Artifact Feature Purification for Cross-domain Detection of AI-generated Images Zheling Meng Bo Peng Jing Dong Tieniu Tan 81 2 0 17 Mar 2024
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 43 5 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 Jiliang Tang 30 25 0 17 Mar 2024
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk Zhangheng Li Junyuan Hong Bo-wen Li Zhangyang Wang DiffM 30 17 0 14 Mar 2024
Efficiently Computing Similarities to Private Datasets A. Backurs Zinan Lin S. Mahabadi Sandeep Silwal Jakub Tarnawski 60 4 0 13 Mar 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 56 9 0 13 Mar 2024
Quantifying and Mitigating Privacy Risks for Tabular Generative Models Chaoyi Zhu Jiayi Tang Hans Brouwer Juan F. Pérez Marten van Dijk Lydia Y. Chen 55 5 0 12 Mar 2024
MPCPA: Multi-Center Privacy Computing with Predictions Aggregation based on Denoising Diffusion Probabilistic Model Guibo Luo Hanwen Zhang Xiuling Wang Mingzhi Chen Yuesheng Zhu DiffM 26 1 0 12 Mar 2024
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning Mark D Mcdonnell Dong Gong Ehsan Abbasnejad A. Hengel VLM DiffM 75 3 0 12 Mar 2024
Visual Privacy Auditing with Diffusion Models Kristian Schwethelm Johannes Kaiser Moritz Knolle Daniel Rueckert Daniel Rueckert Alexander Ziller DiffM AAML 31 0 0 12 Mar 2024
Explainable Learning with Gaussian Processes Kurt Butler Guanchao Feng P. Djuric 14 1 0 11 Mar 2024
MACE: Mass Concept Erasure in Diffusion Models Shilin Lu Zilan Wang Leyang Li Yanzhu Liu A. Kong DiffM 31 76 0 10 Mar 2024