Verifying Differentially Private Median Estimation
Authors: Hyukjun Kwon, Chenglin Fan | Published: 2025-05-22
Privacy Assessment
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
Private Information Retrieval and Its Applications: An Introduction, Open Problems, Future Directions
Authors: Sajani Vithana, Zhusheng Wang, Sennur Ulukus | Published: 2023-04-27
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference
Authors: Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel | Published: 2023-04-26