User Inference Attacks on Large Language Models

User Inference Attacks on Large Language Models

13 October 2023

Krishna Pillutla

Christopher A. Choquette-Choo

Papers citing "User Inference Attacks on Large Language Models"

17 / 17 papers shown

Title
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models Linkang Du Zheng Zhu M. Chen Zhou Su S. Ji Peng Cheng Jiming Chen Zhikun Zhang DiffM WIGM MLAU 68 0 0 17 Apr 2025
Language Models May Verbatim Complete Text They Were Not Explicitly Trained On Ken Ziyu Liu Christopher A. Choquette-Choo Matthew Jagielski Peter Kairouz Sanmi Koyejo Percy Liang Nicolas Papernot 55 0 0 21 Mar 2025
Privacy Auditing of Large Language Models Ashwinee Panda Xinyu Tang Milad Nasr Christopher A. Choquette-Choo Prateek Mittal PILM 62 5 0 09 Mar 2025
Synthetic Data Privacy Metrics Amy Steier Lipika Ramaswamy Andre Manoel Alexa Haushalter 43 0 0 08 Jan 2025
Federated Learning in Practice: Reflections and Projections Katharine Daly Hubert Eichner Peter Kairouz H. B. McMahan Daniel Ramage Zheng Xu FedML 53 5 0 11 Oct 2024
Range Membership Inference Attacks Jiashu Tao Reza Shokri 42 1 0 09 Aug 2024
Fine-Tuning Large Language Models with User-Level Differential Privacy Zachary Charles Arun Ganesh Ryan McKenna H. B. McMahan Nicole Mitchell Krishna Pillutla Keith Rush 36 11 0 10 Jul 2024
Large language models in 6G security: challenges and opportunities Tri Nguyen Huong Nguyen Ahmad Ijaz Saeid Sheikhi Athanasios V. Vasilakos Panos Kostakos ELM 28 8 0 18 Mar 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 E. Evans Hanna Hajishirzi MIALM 39 79 0 12 Feb 2024
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning Rui Ye Wenhao Wang Jingyi Chai Dihan Li Zexi Li Yinda Xu Yaxin Du Yanfeng Wang Siheng Chen ALM FedML AIFin 11 76 0 10 Feb 2024
SoK: Memorization in General-Purpose Large Language Models Valentin Hartmann Anshuman Suri Vincent Bindschaedler David E. Evans Shruti Tople Robert West KELM LLMAG 16 20 0 24 Oct 2023
Students Parrot Their Teachers: Membership Inference on Model Distillation Matthew Jagielski Milad Nasr Christopher A. Choquette-Choo Katherine Lee Nicholas Carlini FedML 41 21 0 06 Mar 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 94 167 0 01 Mar 2023
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 242 592 0 14 Jul 2021
Practical and Private (Deep) Learning without Sampling or Shuffling Peter Kairouz Brendan McMahan Shuang Song Om Thakkar Abhradeep Thakurta Zheng Xu FedML 182 154 0 26 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 253 1,989 0 31 Dec 2020
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,815 0 14 Dec 2020