Impact of using a privacy model on smart buildings data for CO2 prediction
Authors: Marlon P. da Silva, Henry C. Nunes, Charles V. Neu, Luana T. Thomas, Avelino F. Zorzo, Charles Morisset | Published: 2023-06-01
Privacy Enhancing Technology
Differential Privacy with Random Projections and Sign Random Projections
Authors: Ping Li, Xiaoyun Li | Published: 2023-05-22 | Updated: 2023-06-13
When approximate design for fast homomorphic computation provides differential privacy guarantees
Authors: Arnaud Grivet Sébert, Martin Zuber, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler | Published: 2023-04-06
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification
Authors: Jialin Liu, Ning Miao, Chongzhou Fang, Houman Homayoun, Han Wang | Published: 2023-04-04
On Mitigating the Utility-Loss in Differentially Private Learning: A new Perspective by a Geometrically Inspired Kernel Approach
Authors: Mohit Kumar, Bernhard A. Moser, Lukas Fischer | Published: 2023-04-03 | Updated: 2024-02-07
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning
Authors: T. Tony Cai, Yichen Wang, Linjun Zhang | Published: 2023-03-13
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
Authors: Edwige Cyffers, Aurélien Bellet, Debabrota Basu | Published: 2023-02-24 | Updated: 2023-07-12
WW-FL: Secure and Private Large-Scale Federated Learning
Authors: Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Christian Weinert, Hossein Yalame | Published: 2023-02-20 | Updated: 2025-10-14
Certified private data release for sparse Lipschitz functions
Authors: Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March Boedihardjo, Robert Hönig, Fanny Yang | Published: 2023-02-19 | Updated: 2023-08-28
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data
Authors: Pratik Karmakar, Debabrota Basu | Published: 2023-02-16 | Updated: 2023-10-18