Attack-Aware Noise Calibration for Differential Privacy
Authors: Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Flavio du Pin Calmon, Carmela Troncoso | Published: 2024-07-02 | Updated: 2024-11-07
プライバシー保護手法
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning
Authors: Lynn Chua, Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Daogao Liu, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang | Published: 2024-06-20 | Updated: 2024-08-16
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models
Authors: Joshua Ward, Chi-Hua Wang, Guang Cheng | Published: 2024-06-18
GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory
Authors: Wei Fan, Haoran Li, Zheye Deng, Weiqi Wang, Yangqiu Song | Published: 2024-06-17 | Updated: 2024-10-04
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
Authors: JianHao Zhu, Changze Lv, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang | Published: 2024-06-16
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs
Authors: Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou | Published: 2024-06-16
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
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