Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?
Authors: Hao Du, Shang Liu, Yang Cao | Published: 2025-04-28 | Updated: 2025-05-01
Differential Privacy
Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI
Authors: Dawood Wasif, Dian Chen, Sindhuja Madabushi, Nithin Alluru, Terrence J. Moore, Jin-Hee Cho | Published: 2025-03-20
BLIA: Detect model memorization in binary classification model through passive Label Inference attack
Authors: Mohammad Wahiduzzaman Khan, Sheng Chen, Ilya Mironov, Leizhen Zhang, Rabib Noor | Published: 2025-03-17
Nearly Optimal Differentially Private ReLU Regression
Authors: Meng Ding, Mingxi Lei, Shaowei Wang, Tianhang Zheng, Di Wang, Jinhui Xu | Published: 2025-03-08 | Updated: 2025-06-10
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models
Authors: Jiang Zhang, Rohan Xavier Sequeira, Konstantinos Psounis | Published: 2025-03-05 | Updated: 2025-04-07
Trustworthy AI: Safety, Bias, and Privacy — A Survey
Authors: Xingli Fang, Jianwei Li, Varun Mulchandani, Jung-Eun Kim | Published: 2025-02-11 | Updated: 2025-06-11
Training Set Reconstruction from Differentially Private Forests: How Effective is DP?
Authors: Alice Gorgé, Julien Ferry, Sébastien Gambs, Thibaut Vidal | Published: 2025-02-07 | Updated: 2025-07-08
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting
Authors: Jan Schuchardt, Mina Dalirrooyfard, Jed Guzelkabaagac, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann | Published: 2025-02-04 | Updated: 2025-05-29
Optimizing Privacy-Utility Trade-off in Decentralized Learning with Generalized Correlated Noise
Authors: Angelo Rodio, Zheng Chen, Erik G. Larsson | Published: 2025-01-24 | Updated: 2025-07-23
Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry
Authors: Supriya Manna, Niladri Sett | Published: 2024-12-30 | Updated: 2025-05-22