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Security Analysis of Deep Neural Networks Operating in the Presence of
  Cache Side-Channel Attacks

Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks

8 October 2018
Sanghyun Hong
Michael Davinroy
Yigitcan Kaya
S. Locke
Ian Rackow
Kevin Kulda
Dana Dachman-Soled
Tudor Dumitras
    MIACV
ArXivPDFHTML

Papers citing "Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks"

24 / 24 papers shown
Title
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN
  Architectures
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures
Mengjia Yan
Christopher W. Fletcher
Josep Torrellas
MIACV
FedML
61
247
0
14 Aug 2018
Black-box Adversarial Attacks with Limited Queries and Information
Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
MLAU
AAML
160
1,198
0
23 Apr 2018
Technical Report: When Does Machine Learning FAIL? Generalized
  Transferability for Evasion and Poisoning Attacks
Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks
Octavian Suciu
R. Marginean
Yigitcan Kaya
Hal Daumé
Tudor Dumitras
AAML
78
286
0
19 Mar 2018
I Know What You See: Power Side-Channel Attack on Convolutional Neural
  Network Accelerators
I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators
Lingxiao Wei
Bo Luo
Yu LI
Yannan Liu
Qiang Xu
FedML
41
201
0
05 Mar 2018
Stealing Hyperparameters in Machine Learning
Stealing Hyperparameters in Machine Learning
Binghui Wang
Neil Zhenqiang Gong
AAML
134
464
0
14 Feb 2018
Understanding Membership Inferences on Well-Generalized Learning Models
Understanding Membership Inferences on Well-Generalized Learning Models
Yunhui Long
Vincent Bindschaedler
Lei Wang
Diyue Bu
Xiaofeng Wang
Haixu Tang
Carl A. Gunter
Kai Chen
MIALM
MIACV
47
224
0
13 Feb 2018
Ensemble Adversarial Training: Attacks and Defenses
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
177
2,720
0
19 May 2017
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural
  Networks for Environmental Awareness
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness
Nikolai Smolyanskiy
A. Kamenev
Jeffrey Smith
Stan Birchfield
110
223
0
07 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,813
0
17 Apr 2017
The Space of Transferable Adversarial Examples
The Space of Transferable Adversarial Examples
Florian Tramèr
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
SILM
79
556
0
11 Apr 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
461
3,138
0
04 Nov 2016
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
228
4,103
0
18 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
1.2K
14,543
0
07 Oct 2016
Stealing Machine Learning Models via Prediction APIs
Stealing Machine Learning Models via Prediction APIs
Florian Tramèr
Fan Zhang
Ari Juels
Michael K. Reiter
Thomas Ristenpart
SILM
MLAU
99
1,803
0
09 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
715
36,708
0
25 Aug 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
GNN
AI4CE
404
18,334
0
27 May 2016
Resnet in Resnet: Generalizing Residual Architectures
Resnet in Resnet: Generalizing Residual Architectures
S. Targ
Diogo Almeida
Kevin Lyman
SSeg
78
826
0
25 Mar 2016
A software approach to defeating side channels in last-level caches
A software approach to defeating side channels in last-level caches
Ziqiao Zhou
Michael K. Reiter
Yinqian Zhang
36
148
0
17 Mar 2016
Practical Black-Box Attacks against Machine Learning
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAU
AAML
66
3,676
0
08 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
...
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
116
2,969
0
08 Dec 2015
DeepDriving: Learning Affordance for Direct Perception in Autonomous
  Driving
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen
Ari Seff
A. Kornhauser
Jianxiong Xiao
99
1,762
0
01 May 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
401
43,589
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.4K
100,213
0
04 Sep 2014
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