ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.00108
  4. Cited By
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

29 September 2023
Myeongseob Ko
Ming Jin
Chenguang Wang
Ruoxi Jia
ArXiv (abs)PDFHTMLGithub (22★)

Papers citing "Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study"

21 / 21 papers shown
Title
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
Zongyu Wu
Minhua Lin
Zhiwei Zhang
Fali Wang
Xianren Zhang
Xiang Zhang
Suhang Wang
38
0
0
14 Jun 2025
MrM: Black-Box Membership Inference Attacks against Multimodal RAG Systems
MrM: Black-Box Membership Inference Attacks against Multimodal RAG Systems
Peiru Yang
Jinhua Yin
Haoran Zheng
Xueying Bai
Huili Wang
Yufei Sun
Xintian Li
Shangguang Wang
Yongfeng Huang
Tao Qi
AAML
19
0
0
09 Jun 2025
Instance-Level Data-Use Auditing of Visual ML Models
Instance-Level Data-Use Auditing of Visual ML Models
Zonghao Huang
Neil Zhenqiang Gong
Michael K. Reiter
MLAU
99
0
0
28 Mar 2025
Membership Inference Attacks on Large-Scale Models: A Survey
Membership Inference Attacks on Large-Scale Models: A Survey
Hengyu Wu
Yang Cao
MIALM
109
1
0
25 Mar 2025
Efficient Membership Inference Attacks by Bayesian Neural Network
Zhenlong Liu
Wenyu Jiang
Feng Zhou
Hongxin Wei
MIALM
102
1
0
10 Mar 2025
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
Tianjie Ju
Yi Hua
Hao Fei
Zhenyu Shao
Yubin Zheng
Haodong Zhao
Mong Li Lee
Wynne Hsu
Zhuosheng Zhang
Gongshen Liu
146
0
0
03 Mar 2025
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models
Yu He
Boheng Li
Lu Liu
Zhongjie Ba
Wei Dong
Yiming Li
Zhan Qin
Kui Ren
Chong Chen
MIALM
178
3
0
26 Feb 2025
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification
Anan Kabaha
Dana Drachsler-Cohen
AAML
104
0
0
23 Feb 2025
Membership Inference Attack against Long-Context Large Language Models
Zixiong Wang
Gaoyang Liu
Yang Yang
Chen Wang
149
1
0
18 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
109
0
0
17 Nov 2024
New Emerged Security and Privacy of Pre-trained Model: a Survey and
  Outlook
New Emerged Security and Privacy of Pre-trained Model: a Survey and Outlook
Meng Yang
Tianqing Zhu
Chi Liu
Wanlei Zhou
Shui Yu
Philip S. Yu
AAMLELMPILM
112
1
0
12 Nov 2024
Membership Inference Attacks against Large Vision-Language Models
Membership Inference Attacks against Large Vision-Language Models
Zhan Li
Yongtao Wu
Yihang Chen
F. Tonin
Elias Abad Rocamora
Volkan Cevher
78
9
0
05 Nov 2024
Gibberish is All You Need for Membership Inference Detection in
  Contrastive Language-Audio Pretraining
Gibberish is All You Need for Membership Inference Detection in Contrastive Language-Audio Pretraining
Ruoxi Cheng
Yizhong Ding
Shuirong Cao
Shitong Shao
Zhiqiang Wang
74
2
0
24 Oct 2024
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the
  Translational and Clinical Integration of Foundational Models
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models
Simha Sankar Baradwaj
Destiny Gilliland
Jack Rincon
Henning Hermjakob
Yu Yan
...
Dean Wang
Karol Watson
Alex Bui
Wei Wang
Peipei Ping
97
6
0
18 Jul 2024
Seeing Is Believing: Black-Box Membership Inference Attacks Against
  Retrieval Augmented Generation
Seeing Is Believing: Black-Box Membership Inference Attacks Against Retrieval Augmented Generation
Yongqian Li
Gaoyang Liu
Yang Yang
Chen Wang
AAML
75
5
0
27 Jun 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
178
39
1
23 Jun 2024
Better Membership Inference Privacy Measurement through Discrepancy
Better Membership Inference Privacy Measurement through Discrepancy
Ruihan Wu
Pengrun Huang
Kamalika Chaudhuri
MIACV
68
0
0
24 May 2024
Model Inversion Robustness: Can Transfer Learning Help?
Model Inversion Robustness: Can Transfer Learning Help?
Sy-Tuyen Ho
Koh Jun Hao
Keshigeyan Chandrasegaran
Ngoc-Bao Nguyen
Ngai-Man Cheung
89
11
0
09 May 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
Zhenlong Liu
Lei Feng
Huiping Zhuang
Xiaofeng Cao
Hongxin Wei
73
2
0
08 Feb 2024
A Survey on Safe Multi-Modal Learning System
A Survey on Safe Multi-Modal Learning System
Tianyi Zhao
Liangliang Zhang
Yao Ma
Lu Cheng
149
13
0
08 Feb 2024
Privacy-Aware Document Visual Question Answering
Privacy-Aware Document Visual Question Answering
Rubèn Pérez Tito
Khanh Nguyen
Marlon Tobaben
Raouf Kerkouche
Mohamed Ali Souibgui
...
Lei Kang
Ernest Valveny
Antti Honkela
Mario Fritz
Dimosthenis Karatzas
81
13
0
15 Dec 2023
1