CryptoDL: Deep Neural Networks over Encrypted Data

14 November 2017

Papers citing "CryptoDL: Deep Neural Networks over Encrypted Data"

24 / 74 papers shown

Title
Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments Krishnagiri Narra Zhifeng Lin Yongqin Wang Keshav Balasubramaniam M. Annavaram BDL FedML 69 46 0 07 Dec 2019
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey Olakunle Ibitoye Rana Abou-Khamis Mohamed el Shehaby Ashraf Matrawy M. O. Shafiq AAML 95 70 0 06 Nov 2019
HEAX: An Architecture for Computing on Encrypted Data M. Riazi Kim Laine Blake Pelton Wei Dai 84 226 0 20 Sep 2019
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images B. Kim Jose Dolz Pierre-Marc Jodoin Christian Desrosiers 63 29 0 09 Sep 2019
Convolutional Neural Networks on Randomized Data Cristian Ivan 37 14 0 25 Jul 2019
Security for Distributed Deep Neural Networks Towards Data Confidentiality & Intellectual Property Protection L. Gomez M. Wilhelm José Márquez Patrick Duverger 40 9 0 09 Jul 2019
Multilinear Compressive Learning D. Tran Mehmet Yamaç A. Degerli Moncef Gabbouj Alexandros Iosifidis 59 24 0 17 May 2019
Obfuscation for Privacy-preserving Syntactic Parsing Zhifeng Hu Serhii Havrylov Ivan Titov Shay B. Cohen 59 7 0 21 Apr 2019
CryptoNN: Training Neural Networks over Encrypted Data Runhua Xu J. Joshi Chong Li 74 76 0 15 Apr 2019
AutoGAN-based Dimension Reduction for Privacy Preservation Hung Nguyen Di Zhuang Pei-Yuan Wu Jerome Chang 51 33 0 27 Feb 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 95 2,353 0 13 Feb 2019
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning Jinhyun So Başak Güler A. Avestimehr FedML 97 116 0 02 Feb 2019
AnomiGAN: Generative adversarial networks for anonymizing private medical data Ho Bae Dahuin Jung Sungroh Yoon MedIm 33 38 0 31 Jan 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 30 21 0 29 Jan 2019
Secure Federated Transfer Learning Yang Liu Yan Kang Chaoping Xing Tianjian Chen Qiang Yang FedML 75 119 0 08 Dec 2018
No Peek: A Survey of private distributed deep learning Praneeth Vepakomma Tristan Swedish Ramesh Raskar O. Gupta Abhimanyu Dubey SyDa FedML 83 100 0 08 Dec 2018
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 125 713 0 03 Dec 2018
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference Edward Chou Josh Beal Daniel Levy Serena Yeung Albert Haque Li Fei-Fei 67 200 0 25 Nov 2018
A Fully Private Pipeline for Deep Learning on Electronic Health Records Edward Chou Thao Nguyen Josh Beal Albert Haque Li Fei-Fei SyDa FedML 23 6 0 25 Nov 2018
Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference Faiq Khalid Muhammad Abdullah Hanif Semeen Rehman Mohamed Bennai AAML 48 22 0 05 Nov 2018
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs Ahmad Al Badawi Jin Chao Jie Lin Chan Fook Mun Sim Jun Jie B. Tan Xiao Nan Khin Mi Mi Aung V. Chandrasekhar 88 64 0 02 Nov 2018
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data Fabian Boemer Yixing Lao Rosario Cammarota Casimir Wierzynski FedML 129 166 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 147 79 0 31 Jul 2018
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications M. Riazi Christian Weinert Oleksandr Tkachenko Ebrahim M. Songhori T. Schneider F. Koushanfar FedML 53 496 0 10 Jan 2018