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Enabling Privacy-Preserving, Compute- and Data-Intensive Computing using Heterogeneous Trusted Execution Environment
9 April 2019
Jianping Zhu
Rui Hou
Xiaofeng Wang
Wenhao Wang
Jiangfeng Cao
Lutan Zhao
Fengkai Yuan
Peinan Li
Zhongpu Wang
Boyan Zhao
Lixin Zhang
Dan Meng
Re-assign community
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Papers citing
"Enabling Privacy-Preserving, Compute- and Data-Intensive Computing using Heterogeneous Trusted Execution Environment"
8 / 8 papers shown
Title
Efficient Deep Learning on Multi-Source Private Data
Nicholas Hynes
Raymond Cheng
Basel Alomair
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102
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17 Jul 2018
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramèr
Dan Boneh
FedML
179
397
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08 Jun 2018
A Survey of Techniques for Improving Security of GPUs
Sparsh Mittal
S. B. Abhinaya
M. Reddy
Irfan Ali
21
24
0
31 Mar 2018
SGXIO: Generic Trusted I/O Path for Intel SGX
Samuel Weiser
M. Werner
UQCV
55
95
0
04 Jan 2017
Vulnerable GPU Memory Management: Towards Recovering Raw Data from GPU
Zhe Zhou
Wenrui Diao
Xiangyu Liu
Zhou Li
Kehuan Zhang
Rui Liu
39
32
0
21 May 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
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10 Dec 2015
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
477
43,658
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,386
0
04 Sep 2014
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