Differentially Private Selection from Secure Distributed Computing
Authors: Ivan Damgård, Hannah Keller, Boel Nelson, Claudio Orlandi, Rasmus Pagh | Published: 2023-06-07 | Updated: 2023-06-08
Privacy Enhancing Technology
Human-imperceptible, Machine-recognizable Images
Authors: Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Jun Cheng, Dacheng Tao | Published: 2023-06-06
A Privacy-Preserving Federated Learning Approach for Kernel methods
Authors: Anika Hannemann, Ali Burak Ünal, Arjhun Swaminathan, Erik Buchmann, Mete Akgün | Published: 2023-06-05
FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking
Authors: Junchuan Liang, Rong Wang | Published: 2023-06-02
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
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