Membership Inference for Language Models

MIALM

Membership inference for language models investigates the ability to determine if specific data points were part of a model's training set. This research focuses on identifying vulnerabilities in models that allow adversaries to infer training data membership, developing techniques to measure and mitigate these risks.

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EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs Ali Satvaty Suzan Verberne Fatih Turkmen MIALM 128 0 0 31 Oct 2025
Fast-MIA: Efficient and Scalable Membership Inference for LLMs Hiromu Takahashi Shotaro Ishihara MIALM 104 0 0 27 Oct 2025
Membership Inference Attacks on Tokenizers of Large Language Models Meng Tong Yuntao Du Kejiang Chen Weiming Zhang Ninghui Li MIALM 76 0 0 07 Oct 2025
Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis Disha Makhija Manoj Ghuhan Arivazhagan Vinayshekhar Bannihatti Kumar Rashmi Gangadharaiah MIALM 50 0 0 05 Sep 2025
LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Delong Ran Xinlei He Tianshuo Cong Anyu Wang Cunliang Kong Xiaoyun Wang MIALM PILM 121 0 1 24 Jul 2025
Automated Detection of Pre-training Text in Black-box LLMsInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Ruihan Hu Yu-Ming Shang Jiankun Peng Wei Luo Yazhe Wang Xi Zhang MIALM 57 1 0 24 Jun 2025
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack Jing Xue Zhishen Sun Haishan Ye Luo Luo Xiangyu Chang Ivor Tsang Guang Dai MIACV MIALM 117 0 0 03 Jun 2025
Membership Inference Attacks on Large-Scale Models: A Survey Hengyu Wu Yang Cao MIALM 435 5 0 25 Mar 2025
Efficient Membership Inference Attacks by Bayesian Neural Network Zhenlong Liu Wenyu Jiang Feng Zhou Jianguo Huang MIALM 218 2 0 10 Mar 2025
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 248 10 0 26 Feb 2025
Evaluating Membership Inference Attacks in heterogeneous-data setups Bram van Dartel Marc Damie Florian Hahn MIACV MIALM 797 1 0 26 Feb 2025
Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack Sagiv Antebi Edan Habler A. Shabtai Yuval Elovici MIALM 166 4 0 14 Jan 2025
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Haritz Puerto Martin Gubri Sangdoo Yun Seong Joon Oh MIALM 1.3K 13 3 31 Oct 2024
Provable Privacy Attacks on Trained Shallow Neural Networks Guy Smorodinsky Gal Vardi Itay Safran MIALM FedML 100 4 0 10 Oct 2024
Detecting Training Data of Large Language Models via Expectation Maximization Gyuwan Kim Yang Li Evangelia Spiliopoulou Jie Ma Miguel Ballesteros William Yang Wang MIALM 425 8 2 10 Oct 2024
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data Jie Zhang Debeshee Das Gautam Kamath Florian Tramèr MIALM MIACV 558 33 1 29 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 248 9 0 11 Sep 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models Zitao Chen Karthik Pattabiraman MIACV MLAU AAML MIALM 193 3 0 02 Jul 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods Roy Xie Junlin Wang Ruomin Huang Minxing Zhang Rong Ge Jian Pei Neil Zhenqiang Gong Bhuwan Dhingra MIALM 285 27 0 23 Jun 2024
Blind Baselines Beat Membership Inference Attacks for Foundation Models Debeshee Das Jie Zhang Florian Tramèr MIALM 267 47 1 23 Jun 2024
Do Parameters Reveal More than Loss for Membership Inference? Anshuman Suri Xiao Zhang David Evans MIACV MIALM AAML 124 4 0 17 Jun 2024
Semantic Membership Inference Attack against Large Language Models Hamid Mozaffari Virendra J. Marathe MIALM 152 6 0 14 Jun 2024
LLM Dataset Inference: Did you train on my dataset? Pratyush Maini Hengrui Jia Nicolas Papernot Adam Dziedzic MIALM 231 70 0 10 Jun 2024
Pandora's White-Box: Precise Training Data Detection and Extraction in Large Language Models Jeffrey G. Wang Jason Wang Marvin Li Seth Neel MIALM 131 7 0 26 Feb 2024
Fast Adversarial Attacks on Language Models In One GPU Minute Vinu Sankar Sadasivan Shoumik Saha Gaurang Sriramanan Priyatham Kattakinda Atoosa Malemir Chegini Soheil Feizi MIALM 170 56 0 23 Feb 2024
Amplifying Training Data Exposure through Fine-Tuning with Pseudo-Labeled Memberships Myung Gyo Oh Hong Eun Ahn L. Park T.-H. Kwon MIALM AAML 152 0 0 19 Feb 2024
Do Membership Inference Attacks Work on Large Language Models? Michael Duan Anshuman Suri Niloofar Mireshghallah Sewon Min Weijia Shi Luke Zettlemoyer Yulia Tsvetkov Yejin Choi David Evans Hanna Hajishirzi MIALM 202 138 0 12 Feb 2024
Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt CalibrationNeural Information Processing Systems (NeurIPS), 2023 Wenjie Fu Huandong Wang Chen Gao Guanghua Liu Yong Li Tao Jiang MIALM 192 72 0 10 Nov 2023
Detecting Pretraining Data from Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023 Weijia Shi Anirudh Ajith Mengzhou Xia Yangsibo Huang Daogao Liu Terra Blevins Danqi Chen Luke Zettlemoyer MIALM 208 267 0 25 Oct 2023
Did the Neurons Read your Book? Document-level Membership Inference for Large Language ModelsUSENIX Security Symposium (USENIX Security), 2023 Matthieu Meeus Shubham Jain Marek Rei Yves-Alexandre de Montjoye MIALM 179 48 0 23 Oct 2023
Privacy Side Channels in Machine Learning SystemsUSENIX Security Symposium (USENIX Security), 2023 Edoardo Debenedetti Giorgio Severi Nicholas Carlini Christopher A. Choquette-Choo Matthew Jagielski Milad Nasr Eric Wallace Florian Tramèr MIALM 255 47 0 11 Sep 2023
Tools for Verifying Neural Models' Training DataNeural Information Processing Systems (NeurIPS), 2023 Dami Choi Yonadav Shavit David Duvenaud MIALM 113 22 0 02 Jul 2023
Membership Inference Attacks against Language Models via Neighbourhood ComparisonAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Justus Mattern Fatemehsadat Mireshghallah Zhijing Jin Bernhard Schölkopf Mrinmaya Sachan Taylor Berg-Kirkpatrick MIALM 204 236 0 29 May 2023
Can Membership Inferencing be Refuted? Zhifeng Kong A. Chowdhury Kamalika Chaudhuri MIALM MIACV 127 7 0 07 Mar 2023
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target ModelsIEEE Transactions on Dependable and Secure Computing (TDSC), 2022 Mauro Conti Jiaxin Li S. Picek MIALM 125 3 0 28 Oct 2022
l-Leaks: Membership Inference Attacks with Logits Shuhao Li Yajie Wang Yuan-zhang Li Yu-an Tan MIACV MIALM 155 3 0 13 May 2022
Quantifying Privacy Risks of Masked Language Models Using Membership Inference AttacksConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Fatemehsadat Mireshghallah Kartik Goyal Archit Uniyal Taylor Berg-Kirkpatrick Reza Shokri MIALM 187 194 0 08 Mar 2022
Membership Inference Attacks From First Principles Nicholas Carlini Steve Chien Milad Nasr Shuang Song Seth Neel Florian Tramèr MIACV MIALM 367 847 0 07 Dec 2021
Enhanced Membership Inference Attacks against Machine Learning Models Jiayuan Ye Aadyaa Maddi S. K. Murakonda Vincent Bindschaedler Reza Shokri MIALM MIACV 245 301 0 18 Nov 2021
Investigating Membership Inference Attacks under Data Dependencies Thomas Humphries Simon Oya Lindsey Tulloch Matthew Rafuse I. Goldberg Urs Hengartner Florian Kerschbaum MIACV MIALM 386 42 0 23 Oct 2020
Label-Only Membership Inference AttacksInternational Conference on Machine Learning (ICML), 2020 Christopher A. Choquette-Choo Florian Tramèr Nicholas Carlini Nicolas Papernot MIACV MIALM 251 562 0 28 Jul 2020
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models A. Salem Yang Zhang Mathias Humbert Pascal Berrang Mario Fritz Michael Backes MIACV MIALM 258 1,021 0 04 Jun 2018
Understanding Membership Inferences on Well-Generalized Learning Models Yunhui Long Vincent Bindschaedler Lei Wang Diyue Bu Luyi Xing Haixu Tang Carl A. Gunter Kai Chen MIALM MIACV 203 233 0 13 Feb 2018
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 481 4,489 0 18 Oct 2016

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