Extracting Training Data from Diffusion Models

30 January 2023

Papers citing "Extracting Training Data from Diffusion Models"

50 / 414 papers shown

Title
VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models Xiang Li Qianli Shen Kenji Kawaguchi 27 4 0 29 Nov 2023
Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective Lukas Wutschitz Boris Köpf Andrew J. Paverd Saravan Rajmohan Ahmed Salem Shruti Tople Santiago Zanella Béguelin Menglin Xia Victor Rühle 38 13 0 27 Nov 2023
Reinforcement Learning from Diffusion Feedback: Q* for Image Search Aboli Rajan Marathe VLM 37 0 0 27 Nov 2023
ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model Eslam Mohamed Bakr Liangbing Zhao Vincent Tao Hu Matthieu Cord Patrick Pérez Mohamed Elhoseiny 17 1 0 24 Nov 2023
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning Yixin Liu Chenrui Fan Yutong Dai Xun Chen Pan Zhou Lichao Sun DiffM 19 19 0 22 Nov 2023
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI Yuheng Fan Hanxi Liao Shiqi Huang Yimin Luo Huazhu Fu Haikun Qi MedIm 25 18 0 19 Nov 2023
Trustworthy Large Models in Vision: A Survey Ziyan Guo Li Xu Jun Liu MU 56 0 0 16 Nov 2023
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research Bardia Khosravi Frank Li Theo Dapamede Pouria Rouzrokh Cooper Gamble ... C. Wyles Andrew B. Sellergren S. Purkayastha Bradley J. Erickson J. Gichoya MedIm 22 17 0 15 Nov 2023
Privacy Threats in Stable Diffusion Models Thomas Cilloni Charles Fleming Charles Walter 17 3 0 15 Nov 2023
Transpose Attack: Stealing Datasets with Bidirectional Training Guy Amit Mosh Levy Yisroel Mirsky SILM AAML 20 0 0 13 Nov 2023
Holistic Evaluation of Text-To-Image Models Tony Lee Michihiro Yasunaga Chenlin Meng Yifan Mai Joon Sung Park ... Jun-Yan Zhu Fei-Fei Li Jiajun Wu Stefano Ermon Percy Liang 139 125 0 07 Nov 2023
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems Derek Lilienthal Paul Mello Magdalini Eirinaki Stas Tiomkin SyDa DiffM 19 3 0 06 Nov 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 9 1 0 06 Nov 2023
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models Zhuoshi Pan Yuguang Yao Gaowen Liu Bingquan Shen H. V. Zhao Ramana Rao Kompella Sijia Liu DiffM AAML 19 2 0 04 Nov 2023
Synthesizing Diabetic Foot Ulcer Images with Diffusion Model Reza Basiri Karim Manji Francois Harton Alisha Poonja Milos R. Popovic Shehroz S. Khan MedIm 16 5 0 31 Oct 2023
DiffEnc: Variational Diffusion with a Learned Encoder Beatrix M. G. Nielsen Anders Christensen Andrea Dittadi Ole Winther DiffM 11 9 0 30 Oct 2023
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models Minxing Zhang Ning Yu Rui Wen Michael Backes Yang Zhang DiffM 16 17 0 30 Oct 2023
Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation Kunlin Cai Jinghuai Zhang Zhiqing Hong Will Shand Guang Wang Desheng Zhang Jianfeng Chi Yuan Tian 11 1 0 28 Oct 2023
Boosting Data Analytics With Synthetic Volume Expansion Xiaotong Shen Yifei Liu Rex Shen 11 3 0 27 Oct 2023
AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing Namjoon Suh Xiaofeng Lin Din-Yin Hsieh Merhdad Honarkhah Guang Cheng 19 16 0 24 Oct 2023
Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL Shader Images Logan Frank Jim Davis 20 1 0 20 Oct 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 43 2 0 20 Oct 2023
Unintended Memorization in Large ASR Models, and How to Mitigate It Lun Wang Om Thakkar Rajiv Mathews 17 5 0 18 Oct 2023
Generation or Replication: Auscultating Audio Latent Diffusion Models Dimitrios Bralios G. Wichern François G. Germain Zexu Pan Sameer Khurana Chiori Hori Jonathan Le Roux DiffM 10 6 0 16 Oct 2023
Real-Fake: Effective Training Data Synthesis Through Distribution Matching Jianhao Yuan Jie Zhang Shuyang Sun Philip H. S. Torr Bo-Lu Zhao 18 22 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 23 2 0 08 Oct 2023
Generalization in diffusion models arises from geometry-adaptive harmonic representations Zahra Kadkhodaie Florentin Guth Eero P. Simoncelli Stéphane Mallat AI4CE DiffM 14 64 0 04 Oct 2023
Online Sensitivity Optimization in Differentially Private Learning Filippo Galli C. Palamidessi Tommaso Cucinotta 12 1 0 02 Oct 2023
A Comprehensive Review of Generative AI in Healthcare Yasin Shokrollahi Sahar Yarmohammadtoosky Matthew M. Nikahd Pengfei Dong Xianqi Li Linxia Gu MedIm AI4CE 8 19 0 01 Oct 2023
Leave-one-out Distinguishability in Machine Learning Jiayuan Ye Anastasia Borovykh Soufiane Hayou Reza Shokri 22 8 0 29 Sep 2023
Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative Memories and Diffusion Models Benjamin Hoover Hendrik Strobelt Dmitry Krotov Judy Hoffman Z. Kira Duen Horng Chau DiffM 25 4 0 28 Sep 2023
DECORAIT -- DECentralized Opt-in/out Registry for AI Training Karthika Balan Alexander Black Simon Jenni Andrew Gilbert Andy Parsons John Collomosse 16 7 0 25 Sep 2023
SurrogatePrompt: Bypassing the Safety Filter of Text-To-Image Models via Substitution Zhongjie Ba Jieming Zhong Jiachen Lei Pengyu Cheng Qinglong Wang Zhan Qin Zhibo Wang Kui Ren 11 16 0 25 Sep 2023
Security and Privacy on Generative Data in AIGC: A Survey Tao Wang Yushu Zhang Shuren Qi Ruoyu Zhao Zhihua Xia Jian Weng 43 44 0 18 Sep 2023
Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups Parsa Rahimi Christophe Ecabert S´ebastien Marcel CVBM 16 5 0 15 Sep 2023
On Copyright Risks of Text-to-Image Diffusion Models Yang Zhang Teoh Tze Tzun Lim Wei Hern Haonan Wang Kenji Kawaguchi 42 9 0 15 Sep 2023
Privacy Side Channels in Machine Learning Systems Edoardo Debenedetti Giorgio Severi Nicholas Carlini Christopher A. Choquette-Choo Matthew Jagielski Milad Nasr Eric Wallace Florian Tramèr MIALM 26 38 0 11 Sep 2023
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models Takami Sato Justin Yue Nanze Chen Ningfei Wang Qi Alfred Chen DiffM 11 2 0 30 Aug 2023
Unified Concept Editing in Diffusion Models Rohit Gandikota Hadas Orgad Yonatan Belinkov Joanna Materzyñska David Bau DiffM 39 166 0 25 Aug 2023
Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities Maximilian Mozes Xuanli He Bennett Kleinberg Lewis D. Griffin 31 75 0 24 Aug 2023
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models Wenjie Fu Huandong Wang Chen Gao Guanghua Liu Yong Li Tao Jiang DiffM 18 11 0 23 Aug 2023
Hey That's Mine Imperceptible Watermarks are Preserved in Diffusion Generated Outputs Luke Ditria Tom Drummond WIGM 19 2 0 22 Aug 2023
Unlocking Accuracy and Fairness in Differentially Private Image Classification Leonard Berrada Soham De J. Shen Jamie Hayes Robert Stanforth David Stutz Pushmeet Kohli Samuel L. Smith Borja Balle 19 13 0 21 Aug 2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models Dominik Hintersdorf Lukas Struppek Kristian Kersting SILM 20 4 0 18 Aug 2023
SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification Raza Imam Ibrahim Almakky Salma Alrashdi Baketah Alrashdi Mohammad Yaqub AAML 26 1 0 15 Aug 2023
White-box Membership Inference Attacks against Diffusion Models Yan Pang Tianhao Wang Xu Kang Mengdi Huai Yang Zhang AAML DiffM 31 22 0 11 Aug 2023
MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies K. Chen Yusong Wu Haohe Liu Marianna Nezhurina Taylor Berg-Kirkpatrick Shlomo Dubnov DiffM 22 74 0 03 Aug 2023
Circumventing Concept Erasure Methods For Text-to-Image Generative Models Minh Pham Kelly O. Marshall Niv Cohen Govind Mittal C. Hegde DiffM 14 37 0 03 Aug 2023
Training Data Protection with Compositional Diffusion Models Aditya Golatkar Alessandro Achille A. Swaminathan Stefano Soatto DiffM 19 11 0 02 Aug 2023
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI Avijit Ghosh D. Lakshmi 11 3 0 02 Aug 2023