Extracting Training Data from Diffusion Models

30 January 2023

Papers citing "Extracting Training Data from Diffusion Models"

50 / 414 papers shown

Title
Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable Diffusion Zixuan Ni Longhui Wei Jiacheng Li Siliang Tang Yueting Zhuang Qi Tian DiffM 18 21 0 02 Aug 2023
The Bias Amplification Paradox in Text-to-Image Generation P. Seshadri Sameer Singh Yanai Elazar DiffM 11 39 0 01 Aug 2023
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook Mingyuan Fan Chengyu Wang Cen Chen Yang Liu Jun Huang HILM 31 3 0 31 Jul 2023
NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers? Steffen Eger Christoph Leiter Jonas Belouadi Ran Zhang Aida Kostikova Daniil Larionov Yanran Chen Vivian Fresen AI4CE 15 4 0 31 Jul 2023
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance Saeid Naderiparizi Xiaoxuan Liang Berend Zwartsenberg Frank D. Wood DiffM 13 4 0 31 Jul 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution Elen Vardanyan Sona Hunanyan T. Galstyan A. Minasyan A. Dalalyan 24 2 0 31 Jul 2023
Not with my name! Inferring artists' names of input strings employed by Diffusion Models R. Leotta O. Giudice Luca Guarnera S. Battiato DiffM 11 7 0 25 Jul 2023
Co(ve)rtex: ML Models as storage channels and their (mis-)applications Md Abdullah Al Mamun Quazi Mishkatul Alam Erfan Shayegani Pedram Zaree Ihsen Alouani Nael B. Abu-Ghazaleh 32 0 0 17 Jul 2023
Improving Nonalcoholic Fatty Liver Disease Classification Performance With Latent Diffusion Models Romain Hardy Joe Klepich Ryan Mitchell Steve Hall Jericho Villareal C. Ilin MedIm 11 5 0 13 Jul 2023
Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions Dawen Zhang Pamela Finckenberg-Broman Thong Hoang Shidong Pan Zhenchang Xing Mark Staples Xiwei Xu AILaw MU 16 50 0 08 Jul 2023
Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy Georgios Kaissis Jamie Hayes Alexander Ziller Daniel Rueckert AAML 16 11 0 08 Jul 2023
Quantum Solutions to the Privacy vs. Utility Tradeoff Sagnik Chatterjee Vyacheslav Kungurtsev 11 0 0 06 Jul 2023
What Should Data Science Education Do with Large Language Models? Xinming Tu James Y. Zou Weijie J. Su Linjun Zhang AI4Ed 29 31 0 06 Jul 2023
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback Taeho Yoon Kibeom Myoung Keon Lee Jaewoong Cho Albert No Ernest K. Ryu 10 7 0 06 Jul 2023
Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality P. Lorenz Ricard Durall J. Keuper DiffM 62 33 0 05 Jul 2023
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses G. Buzaglo Niv Haim Gilad Yehudai Gal Vardi Yakir Oz Yaniv Nikankin Michal Irani 24 10 0 04 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 21 17 0 03 Jul 2023
When Synthetic Data Met Regulation Georgi Ganev 19 2 0 01 Jul 2023
Federated Generative Learning with Foundation Models Jie M. Zhang Xiaohua Qi Bo-Lu Zhao FedML 31 21 0 28 Jun 2023
Ticketed Learning-Unlearning Schemes Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Ayush Sekhari Chiyuan Zhang MU 22 7 0 27 Jun 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 86 85 0 27 Jun 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology Marco Aversa Gabriel Nobis Miriam Hagele Kai Standvoss Mihaela Chirica ... D. Ivanova Wojciech Samek Frederick Klauschen B. Sanguinetti Luis Oala MedIm 20 18 0 23 Jun 2023
Towards More Realistic Membership Inference Attacks on Large Diffusion Models Jan Dubiñski Antoni Kowalczuk Stanislaw Pawlak Przemyslaw Rokita Tomasz Trzciñski P. Morawiecki 20 28 0 22 Jun 2023
Set-Membership Inference Attacks using Data Watermarking M. Laszkiewicz Denis Lukovnikov Johannes Lederer Asja Fischer WIGM TDI 17 2 0 22 Jun 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities Xudong Shen H. Brown Jiashu Tao Martin Strobel Yao Tong Akshay Narayan Harold Soh Finale Doshi-Velez 13 3 0 22 Jun 2023
Mass-Producing Failures of Multimodal Systems with Language Models Shengbang Tong Erik Jones Jacob Steinhardt 27 33 0 21 Jun 2023
Evaluating Data Attribution for Text-to-Image Models Sheng-Yu Wang Alexei A. Efros Jun-Yan Zhu Richard Y. Zhang TDI 21 30 0 15 Jun 2023
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training Alyssa Huang Peihan Liu Ryumei Nakada Linjun Zhang Wanrong Zhang VLM 29 5 0 13 Jun 2023
Gaussian Membership Inference Privacy Tobias Leemann Martin Pawelczyk Gjergji Kasneci 13 14 0 12 Jun 2023
Evaluating the Social Impact of Generative AI Systems in Systems and Society Irene Solaiman Zeerak Talat William Agnew Lama Ahmad Dylan K. Baker ... Marie-Therese Png Shubham Singh A. Strait Lukas Struppek Arjun Subramonian ELM EGVM 31 103 0 09 Jun 2023
One-Shot Machine Unlearning with Mnemonic Code Tomoya Yamashita Masanori Yamada Takashi Shibata MU 10 1 0 09 Jun 2023
PriSampler: Mitigating Property Inference of Diffusion Models Hailong Hu Jun Pang DiffM 20 3 0 08 Jun 2023
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models G. Stein Jesse C. Cresswell Rasa Hosseinzadeh Yi Sui Brendan Leigh Ross Valentin Villecroze Zhaoyan Liu Anthony L. Caterini J. E. T. Taylor G. Loaiza-Ganem EGVM 17 94 0 07 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 27 52 0 07 Jun 2023
Art and the science of generative AI: A deeper dive Ziv Epstein Aaron Hertzmann L. Herman Robert Mahari M. Frank ... Jessica Fjeld Hany Farid Neil Leach Alex Pentland Olga Russakovsky 15 290 0 07 Jun 2023
Information Flow Control in Machine Learning through Modular Model Architecture Trishita Tiwari Suchin Gururangan Chuan Guo Weizhe Hua Sanjay Kariyappa Udit Gupta Wenjie Xiong Kiwan Maeng Hsien-Hsin S. Lee G. E. Suh 17 6 0 05 Jun 2023
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models Muhammad Usman Akbar Måns Larsson Anders Eklund DiffM MedIm 18 28 0 05 Jun 2023
Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting Mischa Dombrowski Bernhard Kainz DiffM 11 3 0 02 Jun 2023
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models Virginia Fernandez Pedro Sanchez W. H. Pinaya Grzegorz Jacenków Sotirios A. Tsaftaris Jorge Cardoso 24 17 0 02 Jun 2023
TMI! Finetuned Models Leak Private Information from their Pretraining Data John Abascal Stanley Wu Alina Oprea Jonathan R. Ullman 23 16 0 01 Jun 2023
The Hidden Language of Diffusion Models Hila Chefer Oran Lang Mor Geva Volodymyr Polosukhin Assaf Shocher Michal Irani Inbar Mosseri Lior Wolf DiffM 20 26 0 01 Jun 2023
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond Chuan Chen Zhenpeng Wu Yan-Hao Lai Wen-chao Ou Tianchi Liao Zibin Zheng 22 32 0 01 Jun 2023
Conditionally Strongly Log-Concave Generative Models Florentin Guth Etienne Lempereur Joan Bruna S. Mallat 27 3 0 31 May 2023
Understanding and Mitigating Copying in Diffusion Models Gowthami Somepalli Vasu Singla Micah Goldblum Jonas Geiping Tom Goldstein DiffM 16 124 0 31 May 2023
Alteration-free and Model-agnostic Origin Attribution of Generated Images Zhenting Wang Chen Chen Yi Zeng Lingjuan Lyu Shiqing Ma 8 5 0 29 May 2023
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization Fei Kong Jinhao Duan Ruipeng Ma Hengtao Shen Xiao-lan Zhu Xiaoshuang Shi Kaidi Xu DiffM 17 30 0 26 May 2023
Training Data Extraction From Pre-trained Language Models: A Survey Shotaro Ishihara 24 46 0 25 May 2023
Differentially Private Latent Diffusion Models Saiyue Lyu Michael F. Liu Margarita Vinaroz Mijung Park 13 24 0 25 May 2023
Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zi-Han Lin Sivakanth Gopi Janardhan Kulkarni Harsha Nori Sergey Yekhanin 30 36 0 24 May 2023
Deep Learning and Ethics Travis LaCroix Simon J. D. Prince FaML 11 0 0 24 May 2023