SoK: Data Minimization in Machine Learning
Authors: Robin Staab, Nikola Jovanović, Kimberly Mai, Prakhar Ganesh, Martin Vechev, Ferdinando Fioretto, Matthew Jagielski | Published: 2025-08-14
プライバシー評価
Fine-Grained Privacy Extraction from Retrieval-Augmented Generation Systems via Knowledge Asymmetry Exploitation
Authors: Yufei Chen, Yao Wang, Haibin Zhang, Tao Gu | Published: 2025-07-31
Verifying Differentially Private Median Estimation
Authors: Hyukjun Kwon, Chenglin Fan | Published: 2025-05-22
A Survey On Secure Machine Learning
Authors: Taobo Liao, Taoran Li, Prathamesh Nadkarni | Published: 2025-05-21
Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile
Authors: Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa | Published: 2023-06-27
Privacy-Preserving Prompt Tuning for Large Language Model Services
Authors: Yansong Li, Zhixing Tan, Yang Liu | Published: 2023-05-10 | Updated: 2025-01-10
DPMLBench: Holistic Evaluation of Differentially Private Machine Learning
Authors: Chengkun Wei, Minghu Zhao, Zhikun Zhang, Min Chen, Wenlong Meng, Bo Liu, Yuan Fan, Wenzhi Chen | Published: 2023-05-10 | Updated: 2023-10-14
Differentially Private Attention Computation
Authors: Yeqi Gao, Zhao Song, Xin Yang, Yufa Zhou | Published: 2023-05-08 | Updated: 2024-10-14
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training
Authors: Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis | Published: 2023-05-04 | Updated: 2024-04-16
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference
Authors: Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello | Published: 2023-05-01 | Updated: 2024-08-14