A generic framework for privacy preserving deep learning

A generic framework for privacy preserving deep learning

9 November 2018

Masashi Sugiyama

Daniel Rueckert

Papers citing "A generic framework for privacy preserving deep learning"

16 / 166 papers shown

Title
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 76 6,103 0 10 Dec 2019
Deep learning for cardiac image segmentation: A review Chen Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 64 675 0 09 Nov 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 49 1,570 0 01 Nov 2019
Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning M. Galtier Camille Marini 11 40 0 25 Oct 2019
Real-World Image Datasets for Federated Learning Jiahuan Luo Xueyang Wu Yu Luo Anbu Huang Yunfeng Huang Yang Liu Qiang Yang FedML 25 97 0 14 Oct 2019
A blockchain-orchestrated Federated Learning architecture for healthcare consortia Jonathan Passerat-Palmbach Tyler Farnan Robert C Miller M. Gross H. Flannery Bill Gleim FedML 14 54 0 12 Oct 2019
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 101 236 0 16 Sep 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 37 975 0 23 Jul 2019
Privacy Preserving QoE Modeling using Collaborative Learning Selim Ickin K. Vandikas M. Fiedler 6 22 0 21 Jun 2019
Partially Encrypted Machine Learning using Functional Encryption T. Ryffel Edouard Dufour Sans Romain Gay Francis R. Bach D. Pointcheval FedML 13 33 0 24 May 2019
SEALion: a Framework for Neural Network Inference on Encrypted Data Tim van Elsloo Giorgio Patrini Hamish Ivey-Law FedML 30 42 0 29 Apr 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools R. Mayer Hans-Arno Jacobsen GNN 27 186 0 27 Mar 2019
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images Jin Chao Ahmad Al Badawi Balagopal Unnikrishnan Jie Lin Chan Fook Mun ... Michael Chiang Jayashree Kalpathy-Cramer V. Chandrasekhar Pavitra Krishnaswamy Khin Mi Mi Aung 14 21 0 29 Jan 2019
Hydra: A Peer to Peer Distributed Training & Data Collection Framework Vaibhav Mathur K. Chahal OffRL 24 2 0 24 Nov 2018
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data Fabian Boemer Yixing Lao Rosario Cammarota Casimir Wierzynski FedML 19 163 0 23 Oct 2018
Security and Privacy Issues in Deep Learning Ho Bae Jaehee Jang Dahuin Jung Hyemi Jang Heonseok Ha Hyungyu Lee Sungroh Yoon SILM MIACV 48 77 0 31 Jul 2018