Detecting Training Data of Large Language Models via Expectation Maximization
Authors: Gyuwan Kim, Yang Li, Evangelia Spiliopoulou, Jie Ma, Miguel Ballesteros, William Yang Wang | Published: 2024-10-10 | Updated: 2025-04-21
Membership Inference
FRIDA: Free-Rider Detection using Privacy Attacks
Authors: Pol G. Recasens, Ádám Horváth, Alberto Gutierrez-Torre, Jordi Torres, Josep Ll. Berral, Balázs Pejó | Published: 2024-10-07
Order of Magnitude Speedups for LLM Membership Inference
Authors: Rongting Zhang, Martin Bertran, Aaron Roth | Published: 2024-09-22 | Updated: 2024-09-24
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models
Authors: Hongyan Chang, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Reza Shokri | Published: 2024-09-11
Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?
Authors: Rui Wen, Michael Backes, Yang Zhang | Published: 2024-09-05
Membership Inference Attacks Against In-Context Learning
Authors: Rui Wen, Zheng Li, Michael Backes, Yang Zhang | Published: 2024-09-02
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks
Authors: Yu He, Boheng Li, Yao Wang, Mengda Yang, Juan Wang, Hongxin Hu, Xingyu Zhao | Published: 2024-08-31 | Updated: 2024-09-04
Analyzing Inference Privacy Risks Through Gradients in Machine Learning
Authors: Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Bradley Malin, Ye Wang | Published: 2024-08-29
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector
Authors: Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang | Published: 2024-08-16
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services
Authors: Shaopeng Fu, Xuexue Sun, Ke Qing, Tianhang Zheng, Di Wang | Published: 2024-08-05