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Chiron: Privacy-preserving Machine Learning as a Service

Chiron: Privacy-preserving Machine Learning as a Service

15 March 2018
T. Hunt
Congzheng Song
Reza Shokri
Vitaly Shmatikov
Emmett Witchel
ArXiv (abs)PDFHTML

Papers citing "Chiron: Privacy-preserving Machine Learning as a Service"

15 / 15 papers shown
Title
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
Chaoyu Zhang
Shaoyu Li
AILaw
103
4
0
25 Feb 2024
Machine Learning Models that Remember Too Much
Machine Learning Models that Remember Too Much
Congzheng Song
Thomas Ristenpart
Vitaly Shmatikov
VLM
70
516
0
22 Sep 2017
Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel
  Hazards in SGX
Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX
Wenhao Wang
Guoxing Chen
Xiaorui Pan
Yinqian Zhang
Xiaofeng Wang
Vincent Bindschaedler
Haixu Tang
Carl A. Gunter
AAML
57
370
0
20 May 2017
Software Grand Exposure: SGX Cache Attacks Are Practical
Software Grand Exposure: SGX Cache Attacks Are Practical
Ferdinand Brasser
Urs Müller
Alexandra Dmitrienko
Kari Kostiainen
Srdjan Capkun
A. Sadeghi
AAML
90
609
0
24 Feb 2017
Outrageously Large Neural Networks: The Sparsely-Gated
  Mixture-of-Experts Layer
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
251
2,653
0
23 Jan 2017
Inferring Fine-grained Control Flow Inside SGX Enclaves with Branch
  Shadowing
Inferring Fine-grained Control Flow Inside SGX Enclaves with Branch Shadowing
Sangho Lee
Ming-Wei Shih
Prasun Gera
Taesoo Kim
Hyesoon Kim
Marcus Peinado
45
504
0
21 Nov 2016
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLRMIALMMIACV
261
4,135
0
18 Oct 2016
Semi-supervised Knowledge Transfer for Deep Learning from Private
  Training Data
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Nicolas Papernot
Martín Abadi
Ulfar Erlingsson
Ian Goodfellow
Kunal Talwar
77
1,020
0
18 Oct 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedMLSyDa
216
6,130
0
01 Jul 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Theano: A Python framework for fast computation of mathematical
  expressions
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
...
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
201
2,341
0
09 May 2016
Revisiting Distributed Synchronous SGD
Revisiting Distributed Synchronous SGD
Jianmin Chen
Xinghao Pan
R. Monga
Samy Bengio
Rafal Jozefowicz
87
800
0
04 Apr 2016
MXNet: A Flexible and Efficient Machine Learning Library for
  Heterogeneous Distributed Systems
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Tianqi Chen
Mu Li
Yutian Li
Min Lin
Naiyan Wang
Minjie Wang
Tianjun Xiao
Bing Xu
Chiyuan Zhang
Zheng Zhang
196
2,247
0
03 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
0
04 Sep 2014
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