Noise-Aware Differentially Private Regression via Meta-Learning
Authors: Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner | Published: 2024-06-12
プライバシー保護手法
Concept Drift Detection using Ensemble of Integrally Private Models
Authors: Ayush K. Varshney, Vicenc Torra | Published: 2024-06-07
Auditing Differential Privacy Guarantees Using Density Estimation
Authors: Antti Koskela, Jafar Mohammadi | Published: 2024-06-07 | Updated: 2024-10-11
Contrastive explainable clustering with differential privacy
Authors: Dung Nguyen, Ariel Vetzler, Sarit Kraus, Anil Vullikanti | Published: 2024-06-07
Differentially Private Tabular Data Synthesis using Large Language Models
Authors: Toan V. Tran, Li Xiong | Published: 2024-06-03
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation
Authors: Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang | Published: 2024-06-03
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
Authors: Weijun Li, Qiongkai Xu, Mark Dras | Published: 2024-06-03 | Updated: 2024-10-04
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results
Authors: Karima Makhlouf, Tamara Stefanovic, Heber H. Arcolezi, Catuscia Palamidessi | Published: 2024-05-23
Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model
Authors: Tudor Cebere, Aurélien Bellet, Nicolas Papernot | Published: 2024-05-23 | Updated: 2024-10-14
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data
Authors: Haoran Li, Xinyuan Zhao, Dadi Guo, Hanlin Gu, Ziqian Zeng, Yuxing Han, Yangqiu Song, Lixin Fan, Qiang Yang | Published: 2024-05-23