Extracting Training Data from Diffusion Models

30 January 2023

Papers citing "Extracting Training Data from Diffusion Models"

50 / 414 papers shown

Title
CopyrightShield: Spatial Similarity Guided Backdoor Defense against Copyright Infringement in Diffusion Models Zhixiang Guo Siyuan Liang Aishan Liu Dacheng Tao AAML 69 1 0 02 Dec 2024
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication Chenghao Li Yuke Zhang Dake Chen Jingqi Xu P. Beerel 63 0 0 02 Dec 2024
Continuous Concepts Removal in Text-to-image Diffusion Models Tingxu Han Weisong Sun Yanrong Hu Chunrong Fang Yonglong Zhang Shiqing Ma Tao Zheng Zhenyu Chen Zhenting Wang DiffM 109 2 0 30 Nov 2024
Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts J. Chang Hyungjin Chung Jong Chul Ye FaML DiffM 92 0 0 26 Nov 2024
Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Jianghao Gong Peiqi Yan Yue Zhang Hongli An Logan Liu 72 0 0 25 Nov 2024
Image Generation Diversity Issues and How to Tame Them Mischa Dombrowski Weitong Zhang Sarah Cechnicka Hadrien Reynaud Bernhard Kainz 67 0 0 25 Nov 2024
Classifier-Free Guidance inside the Attraction Basin May Cause Memorization Anubhav Jain Yuya Kobayashi Takashi Shibuya Yuhta Takida N. Memon Julian Togelius Yuki Mitsufuji DiffM 104 2 0 23 Nov 2024
Exploiting Watermark-Based Defense Mechanisms in Text-to-Image Diffusion Models for Unauthorized Data Usage Soumil Datta Shih-Chieh Dai Leo Yu Guanhong Tao WIGM 76 0 0 22 Nov 2024
CDI: Copyrighted Data Identification in Diffusion Models Jan Dubiñski Antoni Kowalczuk Franziska Boenisch Adam Dziedzic 70 1 0 19 Nov 2024
SoK: Unifying Cybersecurity and Cybersafety of Multimodal Foundation Models with an Information Theory Approach Ruoxi Sun Jiamin Chang Hammond Pearce Chaowei Xiao B. Li Qi Wu Surya Nepal Minhui Xue 30 0 0 17 Nov 2024
Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities Hatef Otroshi-Shahreza S´ebastien Marcel 32 3 0 31 Oct 2024
DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room Tung Sum Thomas Kwok Chi-Hua Wang Guang Cheng SyDa 43 1 0 31 Oct 2024
A Geometric Framework for Understanding Memorization in Generative Models Brendan Leigh Ross Hamidreza Kamkari Tongzi Wu Rasa Hosseinzadeh Zhaoyan Liu George Stein Jesse C. Cresswell G. Loaiza-Ganem 40 6 0 31 Oct 2024
Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models Raman Dutt Pedro Sanchez Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 29 1 0 29 Oct 2024
Investigating Memorization in Video Diffusion Models C. L. P. Chen Enhuai Liu Daochang Liu M. Shah Chang Xu VGen DiffM 76 1 0 29 Oct 2024
Exploring Local Memorization in Diffusion Models via Bright Ending Attention C. L. P. Chen Daochang Liu M. Shah Chang Xu 57 3 0 29 Oct 2024
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin Linwei Tao Minjing Dong Chang Xu TDI 36 2 0 24 Oct 2024
Deep Generative Models for 3D Medical Image Synthesis Paul Friedrich Yannik Frisch P. Cattin 3DV MedIm 27 3 0 23 Oct 2024
Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting Bao Q. Tran Viet Anh Nguyen Anh Tran Toan M. Tran 26 0 0 22 Oct 2024
Bayesian scaling laws for in-context learning Aryaman Arora Dan Jurafsky Christopher Potts Noah D. Goodman 24 2 0 21 Oct 2024
Feature-guided score diffusion for sampling conditional densities Zahra Kadkhodaie S. Mallat Eero P. Simoncelli DiffM 18 1 0 15 Oct 2024
RealEra: Semantic-level Concept Erasure via Neighbor-Concept Mining Yufan Liu Jinyang An Wanqian Zhang Ming Li Dayan Wu Jingzi Gu Zheng-Shen Lin Weiping Wang 24 4 0 11 Oct 2024
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models Vinith M. Suriyakumar Rohan Alur Ayush Sekhari Manish Raghavan Ashia C. Wilson 53 2 0 10 Oct 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu Yifan Zhang Qiuhong Shen Xinchao Wang Shuicheng Yan 3DGS 39 1 0 10 Oct 2024
Sparse Repellency for Shielded Generation in Text-to-image Diffusion Models Michael Kirchhof James Thornton Pierre Ablin Louis Béthune Eugène Ndiaye Marco Cuturi 36 2 0 08 Oct 2024
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models Salma Abdel Magid Weiwei Pan Simon Warchol Grace Guo Junsik Kim Mahia Rahman Hanspeter Pfister 84 0 0 06 Oct 2024
Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models Chumeng Liang Jiaxuan You 31 0 0 04 Oct 2024
Revealing the Unseen: Guiding Personalized Diffusion Models to Expose Training Data Xiaoyu Wu Jiaru Zhang Steven Wu 33 1 0 03 Oct 2024
Towards a Theoretical Understanding of Memorization in Diffusion Models Yunhao Chen Xingjun Ma Difan Zou Yu-Gang Jiang DiffM 36 5 0 03 Oct 2024
Simplicity bias and optimization threshold in two-layer ReLU networks Etienne Boursier Nicolas Flammarion 24 2 0 03 Oct 2024
Undesirable Memorization in Large Language Models: A Survey Ali Satvaty Suzan Verberne Fatih Turkmen ELM PILM 69 7 0 03 Oct 2024
Image Copy Detection for Diffusion Models Wenhao Wang Yifan Sun Zhentao Tan Yi Yang 25 1 0 30 Sep 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement Zhehao Huang Xinwen Cheng JingHao Zheng Haoran Wang Zhengbao He Tao Li X. Huang MU 40 4 0 29 Sep 2024
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data Jie Zhang Debeshee Das Gautam Kamath Florian Tramèr MIALM MIACV 223 16 1 29 Sep 2024
Localizing Memorization in SSL Vision Encoders Wenhao Wang Adam Dziedzic Michael Backes Franziska Boenisch 16 2 0 27 Sep 2024
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey Yi Zhang Zhen Chen Chih-Hong Cheng Wenjie Ruan Xiaowei Huang Dezong Zhao David Flynn Siddartha Khastgir Xingyu Zhao MedIm 30 3 0 26 Sep 2024
Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine? Likun Zhang Hao Wu L. Zhang Fengyuan Xu Jin Cao Fenghua Li Ben Niu TDI 20 1 0 24 Sep 2024
Training Large ASR Encoders with Differential Privacy Geeticka Chauhan Steve Chien Om Thakkar Abhradeep Thakurta Arun Narayanan 15 1 0 21 Sep 2024
Prompt Obfuscation for Large Language Models David Pape Thorsten Eisenhofer Thorsten Eisenhofer Lea Schönherr AAML 33 2 0 17 Sep 2024
Enhancing Privacy in ControlNet and Stable Diffusion via Split Learning Dixi Yao 19 0 0 13 Sep 2024
Risks When Sharing LoRA Fine-Tuned Diffusion Model Weights Dixi Yao 17 1 0 13 Sep 2024
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models Hongyan Chang Ali Shahin Shamsabadi Kleomenis Katevas Hamed Haddadi Reza Shokri MIALM 55 6 0 11 Sep 2024
On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective Aoting Hu Yanzhi Chen Renjie Xie Adrian Weller 38 0 0 10 Sep 2024
Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion Models Aakash Sen Sharma Niladri Sarkar Vikram S Chundawat Ankur Mali Murari Mandal DiffM MU 27 4 0 09 Sep 2024
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models Sonam Gupta Yatin Nandwani Asaf Yehudai Mayank Mishra Gaurav Pandey Dinesh Raghu Sachindra Joshi LRM 20 1 0 07 Sep 2024
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding Cheng Wang Yiwei Wang Bryan Hooi Yujun Cai Nanyun Peng Kai-Wei Chang 37 2 0 05 Sep 2024
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 56 3 0 03 Sep 2024
Analyzing Inference Privacy Risks Through Gradients in Machine Learning Zhuohang Li Andrew Lowy Jing Liu T. Koike-Akino K. Parsons Bradley Malin Ye Wang FedML 23 1 0 29 Aug 2024
RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model Zhuan Shi Jing Yan Xiaoli Tang Lingjuan Lyu Boi Faltings 34 1 0 29 Aug 2024
Randomization Techniques to Mitigate the Risk of Copyright Infringement Wei-Ning Chen Peter Kairouz Sewoong Oh Zheng Xu AAML 28 0 0 21 Aug 2024