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Membership Inference Attacks Against Text-to-image Generation Models

Membership Inference Attacks Against Text-to-image Generation Models

3 October 2022
Yixin Wu
Ning Yu
Zheng Li
Michael Backes
Yang Zhang
    DiffM
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Papers citing "Membership Inference Attacks Against Text-to-image Generation Models"

49 / 49 papers shown
Title
On the Generalization Properties of Diffusion Models
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?
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
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
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
28
1
0
10 Oct 2024
Membership Inference Attacks Against In-Context Learning
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
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
Range Membership Inference Attacks
Jiashu Tao
Reza Shokri
32
1
0
09 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive
  Survey
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Prompt Stealing Attacks Against Text-to-Image Generation Models
Xinyue Shen
Y. Qu
Michael Backes
Yang Zhang
22
31
0
20 Feb 2023
Data Forensics in Diffusion Models: A Systematic Analysis of Membership
  Privacy
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
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?
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
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
Membership Inference of Diffusion Models
Hailong Hu
Jun Pang
24
37
0
24 Jan 2023
Does CLIP Know My Face?
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
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
390
4,110
0
28 Jan 2022
General Facial Representation Learning in a Visual-Linguistic Manner
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
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
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
Membership Inference Attack on Graph Neural Networks
Iyiola E. Olatunji
Wolfgang Nejdl
Megha Khosla
AAML
34
97
0
17 Jan 2021
1