Free Record-Level Privacy Risk Evaluation Through Artifact-Based Methods
Authors: Joseph Pollock, Igor Shilov, Euodia Dodd, Yves-Alexandre de Montjoye | Published: 2024-11-08 | Updated: 2025-06-12
Membership Inference
Resilience in Knowledge Graph Embeddings
Authors: Arnab Sharma, N'Dah Jean Kouagou, Axel-Cyrille Ngonga Ngomo | Published: 2024-10-28
Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings
Authors: Hossein Mirzaei, Mackenzie W. Mathis | Published: 2024-10-14 | Updated: 2025-01-26
MergePrint: Robust Fingerprinting against Merging Large Language Models
Authors: Shojiro Yamabe, Tsubasa Takahashi, Futa Waseda, Koki Wataoka | Published: 2024-10-11
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
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