Membership Inference Attacks Against Text-to-image Generation Models

3 October 2022

Yixin Wu

Ning Yu

Zheng Li

Michael Backes

Yang Zhang

DiffM

ArXiv PDF HTML

Papers citing "Membership Inference Attacks Against Text-to-image Generation Models"

49 / 49 papers shown

Title
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 64 29 0 13 Mar 2025
Has an AI model been trained on your images? Matyáš Boháček Hany Farid 33 0 0 11 Jan 2025
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
Promptly Yours? A Human Subject Study on Prompt Inference in AI-Generated Art Khoi Trinh Joseph Spracklen Raveen Wijewickrama Bimal Viswanath Murtuza Jadliwala Anindya Maiti 23 1 0 10 Oct 2024
Membership Inference Attacks Against In-Context Learning Rui Wen Z. Li Michael Backes Yang Zhang 26 6 0 02 Sep 2024
Membership Inference Attack Against Masked Image Modeling Z. Li Xinlei He Ning Yu Yang Zhang 38 1 0 13 Aug 2024
Range Membership Inference Attacks Jiashu Tao Reza Shokri 25 1 0 09 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 38 16 0 06 Aug 2024
On the Limitations and Prospects of Machine Unlearning for Generative AI Shiji Zhou Lianzhe Wang Jiangnan Ye Yongliang Wu Heng Chang MU 41 5 0 01 Aug 2024
SeqMIA: Sequential-Metric Based Membership Inference Attack Hao Li Zheng Li Siyuan Wu Chengrui Hu Yutong Ye Min Zhang Dengguo Feng Yang Zhang 25 3 0 21 Jul 2024
Replication in Visual Diffusion Models: A Survey and Outlook Wenhao Wang Yifan Sun Zongxin Yang Zhengdong Hu Zhentao Tan Yi Yang 68 6 0 07 Jul 2024
Blind Baselines Beat Membership Inference Attacks for Foundation Models Debeshee Das Jie Zhang Florian Tramèr MIALM 72 28 1 23 Jun 2024
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations Jie Ren Yingqian Cui Chen Chen Vikash Sehwag Yue Xing Jiliang Tang Lingjuan Lyu WIGM 27 1 0 20 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 39 2 0 04 Jun 2024
Differentially Private Fine-Tuning of Diffusion Models Yu-Lin Tsai Yizhe Li Zekai Chen Po-yu Chen Chia-Mu Yu Xuebin Ren Francois Buet-Golfouse 40 3 0 03 Jun 2024
Gradient Inversion of Federated Diffusion Models Jiyue Huang Chi Hong Lydia Y. Chen Stefanie Roos FedML 29 1 0 30 May 2024
Towards Black-Box Membership Inference Attack for Diffusion Models Jingwei Li Jingyi Dong Tianxing He Jingzhao Zhang 25 3 0 25 May 2024
Better Membership Inference Privacy Measurement through Discrepancy Ruihan Wu Pengrun Huang Kamalika Chaudhuri MIACV 27 0 0 24 May 2024
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient Yongliang Wu Shiji Zhou Mingzhuo Yang Lianzhe Wang Wenbo Zhu Heng Chang Xiao Zhou Xu Yang Xu Yang 53 18 0 24 May 2024
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy Shengfang Zhai Huanran Chen Yinpeng Dong Jiajun Li Qingni Shen Yansong Gao Hang Su Yang Liu EGVM 54 9 0 23 May 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures S. V. Dibbo Adam Breuer Juston S. Moore Michael Teti AAML 28 4 0 21 Mar 2024
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk Zhangheng Li Junyuan Hong Bo-wen Li Zhangyang Wang DiffM 30 17 0 14 Mar 2024
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models Yan Pang Tianhao Wang 17 18 0 13 Dec 2023
Fair Text-to-Image Diffusion via Fair Mapping Jia Li Lijie Hu Jingfeng Zhang Tianhang Zheng Hua Zhang Di Wang 36 13 0 29 Nov 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 11 16 0 30 Sep 2023
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study Myeongseob Ko Ming Jin Chenguang Wang Ruoxi Jia 31 27 0 29 Sep 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
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
Towards More Realistic Membership Inference Attacks on Large Diffusion Models Jan Dubiñski Antoni Kowalczuk Stanislaw Pawlak Przemyslaw Rokita Tomasz Trzciñski P. Morawiecki 22 28 0 22 Jun 2023
PriSampler: Mitigating Property Inference of Diffusion Models Hailong Hu Jun Pang DiffM 20 3 0 08 Jun 2023
Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks Eugenio Lomurno Alberto Archetti Francesca Ausonio Matteo Matteucci AAML 17 4 0 05 Jun 2023
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation Jialu Wang Xinyue Liu Zonglin Di Y. Liu Xin Eric Wang 14 32 0 01 Jun 2023
Differentially Private Latent Diffusion Models Saiyue Lyu Michael F. Liu Margarita Vinaroz Mijung Park 19 24 0 25 May 2023
SneakyPrompt: Jailbreaking Text-to-image Generative Models Yuchen Yang Bo Hui Haolin Yuan Neil Gong Yinzhi Cao EGVM 31 74 0 20 May 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
Text-to-image Diffusion Models in Generative AI: A Survey Chenshuang Zhang Chaoning Zhang Mengchun Zhang In So Kweon VLM 42 263 0 14 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
Prompt Stealing Attacks Against Text-to-Image Generation Models Xinyue Shen Y. Qu Michael Backes Yang Zhang 17 31 0 20 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
Membership Inference Attacks against Diffusion Models Tomoya Matsumoto Takayuki Miura Naoto Yanai DiffM 25 53 0 07 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
Extracting Training Data from Diffusion Models Nicholas Carlini Jamie Hayes Milad Nasr Matthew Jagielski Vikash Sehwag Florian Tramèr Borja Balle Daphne Ippolito Eric Wallace DiffM 55 569 0 30 Jan 2023
Membership Inference of Diffusion Models Hailong Hu Jun Pang 24 37 0 24 Jan 2023
Does CLIP Know My Face? Dominik Hintersdorf Lukas Struppek Manuel Brack Felix Friedrich P. Schramowski Kristian Kersting VLM 13 9 0 15 Sep 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 388 4,110 0 28 Jan 2022
General Facial Representation Learning in a Visual-Linguistic Manner Yinglin Zheng Hao Yang Ting Zhang Jianmin Bao Dongdong Chen Yangyu Huang Lu Yuan Dong Chen Ming Zeng Fang Wen CVBM 135 162 0 06 Dec 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts Soravit Changpinyo P. Sharma Nan Ding Radu Soricut VLM 273 1,077 0 17 Feb 2021
Membership Inference Attack on Graph Neural Networks Iyiola E. Olatunji Wolfgang Nejdl Megha Khosla AAML 34 97 0 17 Jan 2021