Membership Inference Attack Susceptibility of Clinical Language Models

16 April 2021

Abhyuday N. Jagannatha

Bhanu Pratap Singh Rawat

Hong-ye Yu

MIACV

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Papers citing "Membership Inference Attack Susceptibility of Clinical Language Models"

28 / 28 papers shown

Title
Leverage Unlearning to Sanitize LLMs Antoine Boutet Lucas Magnana MU MedIm 178 0 0 24 Oct 2025
Exploring Membership Inference Vulnerabilities in Clinical Large Language Models Alexander Nemecek Zebin Yun Zahra Rahmani Yaniv Harel Vipin Chaudhary Mahmood Sharif Erman Ayday 102 0 0 21 Oct 2025
The Model's Language Matters: A Comparative Privacy Analysis of LLMs Abhishek K. Mishra Antoine Boutet Lucas Magnana PILM 184 0 0 09 Oct 2025
Membership Inference Attack against Large Language Model-based Recommendation Systems: A New Distillation-based Paradigm Li Cuihong Huang Xiaowen Yin Chuanhuan Sang Jitao 100 0 0 16 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 201 1 1 24 Jul 2025
Entropy-Memorization Law: Evaluating Memorization Difficulty of Data in LLMs Yizhan Huang Zhe Yang Meifang Chen Huang Nianchen Jianping Zhang Michael R. Lyu 244 1 0 08 Jul 2025
SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and MitigationACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025 Yashothara Shanmugarasa Ming Ding M. Chamikara Thierry Rakotoarivelo PILM AILaw 362 6 0 15 Jun 2025
SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks Kaiyuan Zhang Siyuan Cheng Hanxi Guo Yuetian Chen Zian Su ... Yuntao Du Charles Fleming Jayanth Srinivasa Xiangyu Zhang Ninghui Li AAML 352 4 0 12 Jun 2025
Fragments to Facts: Partial-Information Fragment Inference from LLMs Lucas Rosenblatt Bin Han Robert Wolfe Bill Howe AAML 265 0 0 20 May 2025
Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?Database Security (DBSec), 2025 Hao Du Shang Liu Yang Cao AAML 401 0 0 28 Apr 2025
Membership Inference Attacks on Large-Scale Models: A Survey Hengyu Wu Yang Cao MIALM 787 7 0 25 Mar 2025
Synthetic Data Privacy Metrics Amy Steier Lipika Ramaswamy Andre Manoel Alexa Haushalter 263 4 0 08 Jan 2025
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future DirectionsPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024 Hao Du Shang Liu Lele Zheng Yang Cao Atsuyoshi Nakamura Lei Chen AAML 414 12 0 21 Dec 2024
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection AssumptionsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Yujuan Fu Özlem Uzuner Meliha Yetisgen Fei Xia 358 16 0 24 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 622 9 2 10 Oct 2024
Undesirable Memorization in Large Language Models: A Survey Ali Satvaty Suzan Verberne Fatih Turkmen ELM PILM 508 22 0 03 Oct 2024
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration MethodConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Weichao Zhang Ruqing Zhang Jiafeng Guo Maarten de Rijke Yixing Fan Xueqi Cheng 369 42 0 23 Sep 2024
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 373 299 0 25 Oct 2023
Gradient-Free Privacy Leakage in Federated Language Models through Selective Weight Tampering Md Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 464 14 0 24 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 319 58 0 23 Oct 2023
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks Ruixiang Tang Gord Lueck Rodolfo Quispe Huseyin A. Inan Janardhan Kulkarni Helen Zhou 194 9 0 20 Oct 2023
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey Victoria Smith Ali Shahin Shamsabadi Carolyn Ashurst Adrian Weller PILM 372 41 0 27 Sep 2023
Training Data Extraction From Pre-trained Language Models: A Survey Shotaro Ishihara 245 52 0 25 May 2023
Analyzing Leakage of Personally Identifiable Information in Language ModelsIEEE Symposium on Security and Privacy (IEEE S&P), 2023 Nils Lukas A. Salem Robert Sim Shruti Tople Lukas Wutschitz Santiago Zanella Béguelin PILM 582 313 0 01 Feb 2023
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework Junzhuo Li Xinwei Wu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong 260 5 0 16 Dec 2022
Differentially Private Decoding in Large Language Models Jimit Majmudar Christophe Dupuy Charith Peris S. Smaili Rahul Gupta R. Zemel 156 39 0 26 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 372 201 0 08 Mar 2022
Membership Inference Attacks on Machine Learning: A SurveyACM Computing Surveys (CSUR), 2021 Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 279 568 0 14 Mar 2021