Extracting Training Data from Diffusion Models

30 January 2023

Papers citing "Extracting Training Data from Diffusion Models"

50 / 414 papers shown

Title
Not Every Image is Worth a Thousand Words: Quantifying Originality in Stable Diffusion Adi Haviv Shahar Sarfaty Uri Y. Hacohen N. Elkin-Koren Roi Livni Amit H. Bermano 29 2 0 15 Aug 2024
ConfusedPilot: Confused Deputy Risks in RAG-based LLMs Ayush RoyChowdhury Mulong Luo Prateek Sahu Sarbartha Banerjee Mohit Tiwari SILM 38 0 0 09 Aug 2024
Range Membership Inference Attacks Jiashu Tao Reza Shokri 25 1 0 09 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 38 16 0 06 Aug 2024
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation Jack Lu Ryan Teehan Mengye Ren DiffM 27 3 0 05 Aug 2024
On the Limitations and Prospects of Machine Unlearning for Generative AI Shiji Zhou Lianzhe Wang Jiangnan Ye Yongliang Wu Heng Chang MU 41 5 0 01 Aug 2024
Detecting, Explaining, and Mitigating Memorization in Diffusion Models Yuxin Wen Yuchen Liu Chen Chen Lingjuan Lyu 29 51 0 31 Jul 2024
Blockchain for Large Language Model Security and Safety: A Holistic Survey Caleb Geren Amanda Board Gaby G. Dagher Tim Andersen Jun Zhuang 44 6 0 26 Jul 2024
MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models Chunsan Hong Tae-Hyun Oh Minhyuk Sung VLM EGVM 29 0 0 24 Jul 2024
Reconstructing Training Data From Real World Models Trained with Transfer Learning Yakir Oz Gilad Yehudai Gal Vardi Itai Antebi Michal Irani Niv Haim 27 2 0 22 Jul 2024
A Solution toward Transparent and Practical AI Regulation: Privacy Nutrition Labels for Open-source Generative AI-based Applications Meixue Si Shidong Pan Dianshu Liao Xiaoyu Sun Zhenyuan Tao Wenchang Shi Zhenchang Xing 35 4 0 22 Jul 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models Xiao Liu Xiaoliu Guan Yu Wu Jiaxu Miao 33 7 0 22 Jul 2024
FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models Jayneel Vora Nader Bouacida Aditya Krishnan Prasant Mohapatra FedML 36 1 0 20 Jul 2024
Towards Assessing Data Replication in Music Generation with Music Similarity Metrics on Raw Audio Roser Batlle-Roca Wei-Hsiang Liao Xavier Serra Yuki Mitsufuji Emilia Gómez 42 0 0 19 Jul 2024
Stable Audio Open Zach Evans Julian Parker CJ Carr Zack Zukowski Josiah Taylor Jordi Pons 66 38 0 19 Jul 2024
Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law Giorgio Franceschelli Claudia Cevenini Mirco Musolesi 39 0 0 18 Jul 2024
Extracting Training Data from Document-Based VQA Models Francesco Pinto N. Rauschmayr F. Tramèr Philip H. S. Torr Federico Tombari 29 3 0 11 Jul 2024
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey) K. Kenthapadi M. Sameki Ankur Taly HILM ELM AILaw 34 12 0 10 Jul 2024
AID-AppEAL: Automatic Image Dataset and Algorithm for Content Appeal Enhancement and Assessment Labeling Sherry X Chen Yaron Vaxman Elad Ben Baruch David Asulin Aviad Moreshet Misha Sra Pradeep Sen 23 0 0 08 Jul 2024
Mjolnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion Xuan Liu Siqi Cai Qihua Zhou Song Guo Ruibin Li Kaiwei Lin DiffM AAML 16 1 0 07 Jul 2024
Replication in Visual Diffusion Models: A Survey and Outlook Wenhao Wang Yifan Sun Zongxin Yang Zhengdong Hu Zhentao Tan Yi Yang 68 6 0 07 Jul 2024
Synthetic Data Aided Federated Learning Using Foundation Models Fatima Abacha Sin G. Teo Lucas C. Cordeiro Mustafa A. Mustafa FedML 27 2 0 06 Jul 2024
Towards More Realistic Extraction Attacks: An Adversarial Perspective Yash More Prakhar Ganesh G. Farnadi AAML 66 6 0 02 Jul 2024
Noisy Neighbors: Efficient membership inference attacks against LLMs Filippo Galli Luca Melis Tommaso Cucinotta 39 7 0 24 Jun 2024
CollaFuse: Collaborative Diffusion Models Simeon Allmendinger Domenique Zipperling Lukas Struppek Niklas Kühl 26 2 0 20 Jun 2024
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations Jie Ren Yingqian Cui Chen Chen Vikash Sehwag Yue Xing Jiliang Tang Lingjuan Lyu WIGM 27 1 0 20 Jun 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 41 9 0 20 Jun 2024
Extracting Training Data from Unconditional Diffusion Models Yunhao Chen Xingjun Ma Difan Zou Yu-Gang Jiang 36 5 0 18 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 70 30 0 17 Jun 2024
Understanding Hallucinations in Diffusion Models through Mode Interpolation Sumukh K. Aithal Pratyush Maini Zachary Chase Lipton J. Zico Kolter DiffM 40 19 0 13 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 39 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 KELM MU 58 4 0 13 Jun 2024
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models Benjamin Biggs Arjun Seshadri Yang Zou Achin Jain Aditya Golatkar Yusheng Xie Alessandro Achille Ashwin Swaminathan Stefano Soatto MoMe DiffM 33 10 0 12 Jun 2024
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas Chengyuan Deng Yiqun Duan Xin Jin Heng Chang Yijun Tian ... Kuofeng Gao Sihong He Jun Zhuang Lu Cheng Haohan Wang AILaw 38 16 0 08 Jun 2024
Efficient Differentially Private Fine-Tuning of Diffusion Models Jing Liu Andrew Lowy T. Koike-Akino K. Parsons Ye Wang 23 0 0 07 Jun 2024
Evaluating and Mitigating IP Infringement in Visual Generative AI Zhenting Wang Chen Chen Vikash Sehwag Minzhou Pan Lingjuan Lyu EGVM 34 5 0 07 Jun 2024
Benchmark Data Contamination of Large Language Models: A Survey Cheng Xu Shuhao Guan Derek Greene Mohand-Tahar Kechadi ELM ALM 36 38 0 06 Jun 2024
Memorization in deep learning: A survey Jiaheng Wei Yanjun Zhang Leo Yu Zhang Ming Ding Chao Chen Kok-Leong Ong Jun Zhang Yang Xiang 40 6 0 06 Jun 2024
Reconstructing training data from document understanding models Jérémie Dentan Arnaud Paran A. Shabou AAML SyDa 34 1 0 05 Jun 2024
Inpainting Pathology in Lumbar Spine MRI with Latent Diffusion Colin Hansen Simas Glinskis Ashwin Raju Micha Kornreich JinHyeong Park Jayashri Pawar Richard Herzog Li Zhang Benjamin Odry MedIm DiffM 42 3 0 04 Jun 2024
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models Dominik Hintersdorf Lukas Struppek Kristian Kersting Adam Dziedzic Franziska Boenisch 23 11 0 04 Jun 2024
Differentially Private Fine-Tuning of Diffusion Models Yu-Lin Tsai Yizhe Li Zekai Chen Po-yu Chen Chia-Mu Yu Xuebin Ren Francois Buet-Golfouse 40 3 0 03 Jun 2024
EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing Hadrien Reynaud Qingjie Meng Mischa Dombrowski Arijit Ghosh Thomas Day Alberto Gomez Paul Leeson Bernhard Kainz MedIm 18 8 0 02 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 16 1 0 01 Jun 2024
Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted Ruchika Chavhan Ondrej Bohdal Yongshuo Zong Da Li Timothy M. Hospedales 29 4 0 01 Jun 2024
Slight Corruption in Pre-training Data Makes Better Diffusion Models Hao Chen Yujin Han Diganta Misra Xiang Li Kai Hu Difan Zou Masashi Sugiyama Jindong Wang Bhiksha Raj DiffM 45 5 0 30 May 2024
Gradient Inversion of Federated Diffusion Models Jiyue Huang Chi Hong Lydia Y. Chen Stefanie Roos FedML 29 1 0 30 May 2024
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable Martín Bertrán Shuai Tang Michael Kearns Jamie Morgenstern Aaron Roth Zhiwei Steven Wu AAML 27 5 0 30 May 2024
AI Risk Management Should Incorporate Both Safety and Security Xiangyu Qi Yangsibo Huang Yi Zeng Edoardo Debenedetti Jonas Geiping ... Chaowei Xiao Bo-wen Li Dawn Song Peter Henderson Prateek Mittal AAML 43 10 0 29 May 2024
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection Raman Dutt Pedro Sanchez Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales MedIm 21 2 0 29 May 2024