Differentially Private Distribution Release of Gaussian Mixture Models via KL-Divergence Minimization
Authors: Hang Liu, Anna Scaglione, Sean Peisert | Published: 2025-06-04
差分プライバシー
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models
Authors: Antti Koskela, Tejas Kulkarni | Published: 2025-05-26
Verifying Differentially Private Median Estimation
Authors: Hyukjun Kwon, Chenglin Fan | Published: 2025-05-22
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
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
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