Verifying Differentially Private Median Estimation
Authors: Hyukjun Kwon, Chenglin Fan | Published: 2025-05-22
Differential Privacy
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Authors: Chetan Pathade, Shubham Patil | Published: 2025-05-12
Bilateral Differentially Private Vertical Federated Boosted Decision Trees
Authors: Bokang Zhang, Zhikun Zhang, Haodong Jiang, Yang Liu, Lihao Zheng, Yuxiao Zhou, Shuaiting Huang, Junfeng Wu | Published: 2025-04-30
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
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