Extracting Training Data from Diffusion Models

30 January 2023

Papers citing "Extracting Training Data from Diffusion Models"

50 / 414 papers shown

Title
Privacy-Preserving Diffusion Model Using Homomorphic Encryption Yaojian Chen Qiben Yan 37 4 0 09 Mar 2024
A Safe Harbor for AI Evaluation and Red Teaming Shayne Longpre Sayash Kapoor Kevin Klyman Ashwin Ramaswami Rishi Bommasani ... Daniel Kang Sandy Pentland Arvind Narayanan Percy Liang Peter Henderson 49 37 0 07 Mar 2024
Shapley Values-Powered Framework for Fair Reward Split in Content Produced by GenAI Alex Glinsky Alexey Sokolsky 23 0 0 05 Mar 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Patrick Esser Sumith Kulal A. Blattmann Rahim Entezari Jonas Muller ... Zion English Kyle Lacey Alex Goodwin Yannik Marek Robin Rombach DiffM 68 1,058 0 05 Mar 2024
The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN) Brenda Y. Miao Irene Y. Chen C. Y. Williams Jaysón M. Davidson Augusto Garcia-Agundez ... Bin Yu Milena Gianfrancesco A. Butte Beau Norgeot Madhumita Sushil VLM 34 2 0 05 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 47 18 0 05 Mar 2024
Critical windows: non-asymptotic theory for feature emergence in diffusion models Marvin Li Sitan Chen DiffM 27 11 0 03 Mar 2024
Teach LLMs to Phish: Stealing Private Information from Language Models Ashwinee Panda Christopher A. Choquette-Choo Zhengming Zhang Yaoqing Yang Prateek Mittal PILM 19 20 0 01 Mar 2024
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective Xinjian Luo Yangfan Jiang Fei Wei Yuncheng Wu Xiaokui Xiao Beng Chin Ooi DiffM 30 4 0 28 Feb 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 56 17 0 28 Feb 2024
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems Zhenting Qi Hanlin Zhang Eric Xing Sham Kakade Hima Lakkaraju SILM 40 17 0 27 Feb 2024
A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data Antonio Sclocchi Alessandro Favero M. Wyart DiffM 41 26 0 26 Feb 2024
Privacy-Preserving Instructions for Aligning Large Language Models Da Yu Peter Kairouz Sewoong Oh Zheng Xu 32 17 0 21 Feb 2024
Bounding Reconstruction Attack Success of Adversaries Without Data Priors Alexander Ziller Anneliese Riess Kristian Schwethelm Tamara T. Mueller Daniel Rueckert Georgios Kaissis MIACV AAML 24 1 0 20 Feb 2024
Gore Diffusion LoRA Model Ayush Thakur A. K. Dubey 22 0 0 09 Feb 2024
Wasserstein proximal operators describe score-based generative models and resolve memorization Benjamin J. Zhang Siting Liu Wuchen Li M. Katsoulakis Stanley J. Osher DiffM 30 8 0 09 Feb 2024
Copyright Protection in Generative AI: A Technical Perspective Jie Ren Han Xu Pengfei He Yingqian Cui Shenglai Zeng ... Hongzhi Wen Jiayuan Ding Hui Liu Yi Chang Jiliang Tang DeLMO 16 30 0 04 Feb 2024
Separable Multi-Concept Erasure from Diffusion Models Mengnan Zhao Lihe Zhang Tianhang Zheng Yuqiu Kong Baocai Yin 41 9 0 03 Feb 2024
On Catastrophic Inheritance of Large Foundation Models Hao Chen Bhiksha Raj Xing Xie Jindong Wang AI4CE 48 12 0 02 Feb 2024
SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training? Hasan Hammoud Hani Itani Fabio Pizzati Philip H. S. Torr Adel Bibi Bernard Ghanem CLIP VLM 112 35 0 02 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 8 16 0 02 Feb 2024
Machine Unlearning for Image-to-Image Generative Models Guihong Li Hsiang Hsu Chun-Fu Chen R. Marculescu MU VLM 64 25 0 01 Feb 2024
Exploring Musical Roots: Applying Audio Embeddings to Empower Influence Attribution for a Generative Music Model Julia Barnett Hugo Flores Garcia Bryan Pardo 32 6 0 25 Jan 2024
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation Tong Xie Haoyu Li Andrew Bai Cho-Jui Hsieh TDI 23 2 0 17 Jan 2024
Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity Claudio Novelli F. Casolari Philipp Hacker Giorgio Spedicato Luciano Floridi AILaw SILM 42 43 0 14 Jan 2024
EraseDiff: Erasing Data Influence in Diffusion Models Jing Wu Trung Le Munawar Hayat Mehrtash Harandi DiffM 64 14 0 11 Jan 2024
AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks T. S. Goetze 6 13 0 10 Jan 2024
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN Muhammad Ali Farooq Wang Yao Michael Schukat Mark A Little Peter Corcoran DiffM MedIm 16 11 0 10 Jan 2024
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline Haonan Wang Qianli Shen Yao Tong Yang Zhang Kenji Kawaguchi 37 22 0 07 Jan 2024
A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models Rui-ya Ma Qiang Zhou Yizhu Jin Daquan Zhou Bangjun Xiao ... Jingtong Hu Xiaodong Xie Zhen Dong Shanghang Zhang Shiji Zhou 6 2 0 04 Jan 2024
Data-Centric Foundation Models in Computational Healthcare: A Survey Yunkun Zhang Jin Gao Zheling Tan Lingfeng Zhou Kexin Ding Mu Zhou Shaoting Zhang Dequan Wang AI4CE 21 22 0 04 Jan 2024
One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications Mengyao Lyu Yuhong Yang Haiwen Hong Hui Chen Xuan Jin Yuan He Hui Xue Jungong Han Guiguang Ding DiffM 15 54 0 26 Dec 2023
Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians Catherine F. Higham Des J. Higham P. Grindrod DiffM VLM 16 3 0 21 Dec 2023
Traces of Memorisation in Large Language Models for Code Ali Al-Kaswan M. Izadi A. van Deursen ELM 31 14 0 18 Dec 2023
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 21 2 0 13 Dec 2023
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models Yan Pang Tianhao Wang 17 18 0 13 Dec 2023
On a Foundation Model for Operating Systems Divyanshu Saxena Nihal Sharma Donghyun Kim Rohit Dwivedula Jiayi Chen ... Alex Dimakis P. B. Godfrey Daehyeok Kim Chris Rossbach Gang Wang 30 2 0 13 Dec 2023
The Journey, Not the Destination: How Data Guides Diffusion Models Kristian Georgiev Joshua Vendrow Hadi Salman Sung Min Park Aleksander Madry 10 20 0 11 Dec 2023
TabMT: Generating tabular data with masked transformers Manbir Gulati Paul F. Roysdon LMTD 43 32 0 11 Dec 2023
Membership Inference Attacks on Diffusion Models via Quantile Regression Shuai Tang Zhiwei Steven Wu Sergul Aydore Michael Kearns Aaron Roth 15 14 0 08 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 39 2 0 07 Dec 2023
Understanding (Un)Intended Memorization in Text-to-Image Generative Models Ali Naseh Jaechul Roh Amir Houmansadr DiffM 14 6 0 06 Dec 2023
Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication Ali Naseh Jaechul Roh Amir Houmansadr 25 6 0 06 Dec 2023
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance Haichao Sha Ruixuan Liu Yi-xiao Liu Hong Chen 35 1 0 06 Dec 2023
Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation Simeon Allmendinger Patrick Hemmer Moritz Queisner Igor Sauer Leopold Muller Johannes Jakubik Michael Vossing Niklas Kühl MedIm 16 6 0 05 Dec 2023
Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging Alexander Ziller Tamara T. Mueller Simon Stieger Leonhard F. Feiner Johannes Brandt R. Braren Daniel Rueckert Georgios Kaissis 53 1 0 05 Dec 2023
Stable Diffusion Exposed: Gender Bias from Prompt to Image Yankun Wu Yuta Nakashima Noa Garcia 23 16 0 05 Dec 2023
RefinedFields: Radiance Fields Refinement for Unconstrained Scenes Karim Kassab Antoine Schnepf Jean-Yves Franceschi Laurent Caraffa Jeremie Mary Valérie Gouet-Brunet VGen 17 7 0 01 Dec 2023
SynFundus-1M: A High-quality Million-scale Synthetic fundus images Dataset with Fifteen Types of Annotation Fangxin Shang Jie Fu Yehui Yang Haifeng Huang Junwei Liu Lei Ma MedIm 27 1 0 01 Dec 2023
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers Chi-Pin Huang Kai-Po Chang Chung-Ting Tsai Yung-Hsuan Lai Fu-En Yang Yu-Chiang Frank Wang DiffM 11 46 0 29 Nov 2023