Efficient privacy preservation of big data for accurate data mining

19 June 2019

Papers citing "Efficient privacy preservation of big data for accurate data mining"

7 / 7 papers shown

Title
Gradients Stand-in for Defending Deep Leakage in Federated Learning H. Yi H. Ren C. Hu Y. Li J. Deng Xin Xie FedML 35 0 0 11 Oct 2024
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 53 19 0 27 Nov 2023
Gradient Leakage Defense with Key-Lock Module for Federated Learning Hanchi Ren Jingjing Deng Xianghua Xie Xiaoke Ma Jianfeng Ma FedML 37 2 0 06 May 2023
Digital Privacy Under Attack: Challenges and Enablers Baobao Song Mengyue Deng Shiva Raj Pokhrel Qiujun Lan R. Doss Gang Li AAML 39 3 0 18 Feb 2023
PPaaS: Privacy Preservation as a Service Pathum Chamikara Mahawaga Arachchige P. Bertók I. Khalil Dongxi Liu S. Çamtepe 27 9 0 04 Jul 2020
Privacy Preserving Face Recognition Utilizing Differential Privacy Pathum Chamikara Mahawaga Arachchige P. Bertók I. Khalil D. Liu S. Çamtepe PICV 50 117 0 21 May 2020
Local Differential Privacy for Deep Learning Pathum Chamikara Mahawaga Arachchige P. Bertók I. Khalil Dongxi Liu S. Çamtepe Mohammed Atiquzzaman 41 220 0 08 Aug 2019