Extracting Training Data from Diffusion Models

30 January 2023

Papers citing "Extracting Training Data from Diffusion Models"

50 / 414 papers shown

Title
Can Copyright be Reduced to Privacy? N. Elkin-Koren Uri Y. Hacohen Roi Livni Shay Moran 6 21 0 24 May 2023
On the Generalization of Diffusion Model Mingyang Yi Jiacheng Sun Zhenguo Li 8 18 0 24 May 2023
SneakyPrompt: Jailbreaking Text-to-image Generative Models Yuchen Yang Bo Hui Haolin Yuan Neil Gong Yinzhi Cao EGVM 29 74 0 20 May 2023
Inventing art styles with no artistic training data Nilin Abrahamsen Jiahao Yao GAN 14 3 0 19 May 2023
Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks Alon Jacovi Avi Caciularu Omer Goldman Yoav Goldberg 17 95 0 17 May 2023
A Reproducible Extraction of Training Images from Diffusion Models Ryan Webster 15 33 0 15 May 2023
Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain MRI and chest x-ray images Muhammad Usman Akbar Wuhao Wang Anders Eklund DiffM MedIm 18 15 0 12 May 2023
Analyzing Bias in Diffusion-based Face Generation Models Malsha V. Perera Vishal M. Patel DiffM 17 38 0 10 May 2023
Reconstructing Training Data from Multiclass Neural Networks G. Buzaglo Niv Haim Gilad Yehudai Gal Vardi Michal Irani 19 4 0 05 May 2023
A Survey on Dataset Distillation: Approaches, Applications and Future Directions Jiahui Geng Zongxiong Chen Yuandou Wang Herbert Woisetschlaeger Sonja Schimmler Ruben Mayer Zhiming Zhao Chunming Rong DD 55 26 0 03 May 2023
Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4 Kent K. Chang Mackenzie Cramer Sandeep Soni David Bamman RALM 140 110 0 28 Apr 2023
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning Casey Meehan Florian Bordes Pascal Vincent Kamalika Chaudhuri Chuan Guo 32 18 0 26 Apr 2023
Image retrieval outperforms diffusion models on data augmentation Max F. Burg F. Wenzel Dominik Zietlow Max Horn Osama Makansi Francesco Locatello Chris Russell VLM DiffM 24 16 0 20 Apr 2023
The impact of the AI revolution on asset management Michael K Kopp 13 0 0 20 Apr 2023
Generative models improve fairness of medical classifiers under distribution shifts Ira Ktena Olivia Wiles Isabela Albuquerque Sylvestre-Alvise Rebuffi Ryutaro Tanno ... Danielle Belgrave Pushmeet Kohli Alan Karthikesalingam A. Cemgil Sven Gowal OOD MedIm 13 76 0 18 Apr 2023
Tool Learning with Foundation Models Yujia Qin Shengding Hu Yankai Lin Weize Chen Ning Ding ... Cheng Yang Tongshuang Wu Heng Ji Zhiyuan Liu Maosong Sun 31 198 0 17 Apr 2023
EKILA: Synthetic Media Provenance and Attribution for Generative Art Kar Balan S. Agarwal Simon Jenni Andy Parsons Andrew Gilbert John Collomosse 14 12 0 10 Apr 2023
Probing Conceptual Understanding of Large Visual-Language Models Madeline Chantry Schiappa Raiyaan Abdullah Shehreen Azad Jared Claypoole Michael Cogswell Ajay Divakaran Y. S. Rawat 35 13 0 07 Apr 2023
Self-Supervised Multimodal Learning: A Survey Yongshuo Zong Oisin Mac Aodha Timothy M. Hospedales SSL 19 43 0 31 Mar 2023
On Rényi Differential Privacy in Statistics-Based Synthetic Data Generation Takayuki Miura Toshiki Shibahara M. Kii Atsunori Ichikawa Juko Yamamoto Koji Chida SyDa 17 0 0 31 Mar 2023
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society G. Li Hasan Hammoud Hani Itani Dmitrii Khizbullin Bernard Ghanem SyDa ALM 19 397 0 31 Mar 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models Eric Zhang Kai Wang Xingqian Xu Zhangyang Wang Humphrey Shi DiffM 42 172 0 30 Mar 2023
Foundation Models and Fair Use Peter Henderson Xuechen Li Dan Jurafsky Tatsunori Hashimoto Mark A. Lemley Percy Liang 12 119 0 28 Mar 2023
Ablating Concepts in Text-to-Image Diffusion Models Nupur Kumari Bin Zhang Sheng-Yu Wang Eli Shechtman Richard Y. Zhang Jun-Yan Zhu VLM 21 182 0 23 Mar 2023
On the De-duplication of LAION-2B Ryan Webster Julien Rabin Loïc Simon F. Jurie DiffM 10 40 0 17 Mar 2023
DIRE for Diffusion-Generated Image Detection Zhendong Wang Jianmin Bao Wen-gang Zhou Weilun Wang Hezhen Hu Hong Chen Houqiang Li 11 186 0 16 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 184 30 0 09 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 24 501 0 07 Mar 2023
Differentially Private Diffusion Models Generate Useful Synthetic Images Sahra Ghalebikesabi Leonard Berrada Sven Gowal Ira Ktena Robert Stanforth Jamie Hayes Soham De Samuel L. Smith Olivia Wiles Borja Balle DiffM 18 69 0 27 Feb 2023
On Provable Copyright Protection for Generative Models Nikhil Vyas Sham Kakade Boaz Barak 8 87 0 21 Feb 2023
Prompt Stealing Attacks Against Text-to-Image Generation Models Xinyue Shen Y. Qu Michael Backes Yang Zhang 17 31 0 20 Feb 2023
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection Ege Erdogan Unat Teksen Mehmet Salih Celiktenyildiz Alptekin Kupcu A. E. Cicek 17 4 0 16 Feb 2023
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy Derui Zhu Dingfan Chen Jens Grossklags Mario Fritz DiffM 14 14 0 15 Feb 2023
Bounding Training Data Reconstruction in DP-SGD Jamie Hayes Saeed Mahloujifar Borja Balle AAML FedML 15 39 0 14 Feb 2023
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples Marco Jiralerspong A. Bose I. Gemp Chongli Qin Yoram Bachrach Gauthier Gidel EGVM 15 5 0 09 Feb 2023
Machine Learning for Synthetic Data Generation: A Review Ying-Cheng Lu Minjie Shen Huazheng Wang Xiao Wang Capucine Van Rechem Tianfan Fu Wenqi Wei SyDa 18 138 0 08 Feb 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov VLM DiffM 17 230 0 07 Feb 2023
Membership Inference Attacks against Diffusion Models Tomoya Matsumoto Takayuki Miura Naoto Yanai DiffM 22 53 0 07 Feb 2023
A Categorical Archive of ChatGPT Failures Ali Borji ELM 20 375 0 06 Feb 2023
Leaving Reality to Imagination: Robust Classification via Generated Datasets Hritik Bansal Aditya Grover OOD 34 86 0 05 Feb 2023
Regulating ChatGPT and other Large Generative AI Models P. Hacker A. Engel M. Mauer AILaw 18 324 0 05 Feb 2023
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation Giorgio Mariani Irene Tallini Emilian Postolache Michele Mancusi Luca Cosmo Emanuele Rodolà DiffM 22 36 0 04 Feb 2023
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification Bohan Li Xiao Xu Xinghao Wang Yutai Hou Yunlong Feng Feng Wang Xuanliang Zhang Qingfu Zhu Wanxiang Che DiffM VLM 18 9 0 04 Feb 2023
REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers Aivin V. Solatorio Olivier Dupriez LMTD 13 60 0 04 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis MedIm 21 17 0 03 Feb 2023
Are Diffusion Models Vulnerable to Membership Inference Attacks? Jinhao Duan Fei Kong Shiqi Wang Xiaoshuang Shi Kaidi Xu 18 109 0 02 Feb 2023
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains Kevin Thandiackal Luigi Piccinelli Pushpak Pati O. Goksel CLL OOD MedIm 32 6 0 02 Feb 2023
Fake it till you make it: Learning transferable representations from synthetic ImageNet clones Mert Bulent Sariyildiz Alahari Karteek Diane Larlus Yannis Kalantidis DiffM VLM 23 153 0 16 Dec 2022
Taming Normalizing Flows Shimon Malnick S. Avidan Ohad Fried TPM DiffM 8 1 0 29 Nov 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 17 84 0 28 Nov 2022